Yu Xinwen, Ph.D., director of Internet of Things (IoT) Lab, Institue of Forest Resource Information Techniques (IFRIT), Chinese Acadamy of Forestry (CAF), chief expert of Forestry and Grassland IoT, executive member of China Computer Federation (CCF-TC) Computer Application, executive director of the Computer Branch of the Chinese Society of Forestry, secretary-general of the National Innovation Alliance of IoT & AI, one of the initiators of the 5G Smart Forestry and Grassland Joint Laboratory, a delegate to the 10th National Congress of Returned Overseas Chinese Citizens in 2018, and an executive committee member of the 1st Committee of the Overseas Chinese Federation of the National Forestry and Grassland Administration (since 2022).
In 2002, Prof. Yu Xinwen went to Japan International Research Central for Agricultural Sciences for postdoctoral research under the financial support of the Japan Society for the Promotion of Science (JSPS). Then he continued to study for many years as a special researcher, where he carried out research on technologies such as distributed image computing frameworks, distributed agricultural data grids, distributed agricultural data fusion and so on.
After returning to China, Prof. Yu Xinwen has been mainly engaged in the research of intelligent forestry and grassland areas, such as forestry IoT and forestry intelligent identification. He has presided over and participated in a number of National Key Research and Development Program of China projects, 863 program projects, 948 projects, industry public welfare projects, and institutional funds. His research focuses on ecological monitoring of national parks and nature reserves, biodiversity monitoring based on animal sounds, and monitoring of plantation forest growth and environmental information. In recent years, he has published more than 30 papers, obtained 12 relevant patents (1 international patent), more than 10 software copyrights, and developed 3 new products. He has won one Overseas Chinese Contribution Award-Innovation Achievement Award, one Liang Xi Forestry Science and Technology Award First Prize and one Second Prize, and one Guangxi Science and Technology Progress Award Second Prize.
Forest three-dimensional simulation real scene reconstruction and dynamic simulation technology, Ministry of Science and Technology of the People's Republic of China, Project of National Key Research and Development Program of China, Leader, 2023.11-2027.10, 2.8 million RMB.
Demonstration application of technology for automatic acquisition and updating of data from terrestrial long-term positioning observation sites, Ministry of Science and Technology of the People's Republic of China, Sub-project of National Key Research and Development Program, Leader, 2023.11-2027.10, 0.78 million RMB.
Wildlife sound annotation and AI recognition algorithm development, Chinese Academy of Forestry, Sub-project of the Academy Fund, Leader, 2023.11-2026.10, 0.6 million RMB
Subsystem for pre-processing and product processing for forestry applications of high-resolution data (phase I), State Administration of Science, Technology and Industry for National Defence.PRC, National Key Science and Technology Special Project, Co-leader (ranked first), 2012.01-2016.12, 8 million RMB.
Research on animal diversity monitoring techniques based on acoustic indices, Chinese Academy of Forestry, Academy Fund, Leader, 2018.01-2021.12, 0.8 million.
Technology for real-time acquisition of Internet of Things (IoT) information on growth and environment of planted forests, Ministry of Science and Technology of the People's Republic of China, Project of National Key Research and Development Program of China, Second project sponsor, 2017.07-2020.12, 4.12 million RMB.
Techniques for precise acquisition of forest habitat factors, Ministry of Science and Technology of the People's Republic of China, Sub-project of National High-tech R&D Program (863 Program), Sub-task leader, 2012.01-2014.12, 1.26 million RMB.
Introduction of high-performance computer-based modelling of climate change-forestry relationships, National Forestry and Grassland Administration, International Program for Advanced Agricultural Science and Technology (948 Program), Co-leader (ranked first), 2012.01-2014.12, 0.3 million RMB.
Luo Li, Hou Yanan, Yang Jingyuan, Yu Xinwen*, et.al. Exploration of dynamic changes of sound diversity based on acoustic index in the Shennongjia National Park, China [J]. Journal of Nanjing Forestry University (Natural Science Edition), 2023, 47(5): 39-48. DOI: 10.12302/j.issn.1000-2006.202208003.
Guo Anqi, Liu Yukun, Yu Xinwen*, et.al. Soundscape composition and acoustic activity assessment of Nomascus hainanus habitat [J]. Chinese Journal of Ecology, 2023-09-11, https://link.cnki.net/urlid/21.1148.Q.20230908.1301.002.
Gao Jiajun Gao, Zhang Xu, Chen Yan*, Guo Ying*, Yu Xinwen, et.al. A Lightweight Sound Recognition Model for Hainan Gibbons[J]. Terrestrial Ecosystem and Conservation, 2022, 2(6): 51-60.DOI: 10.12356/j.2096-8884.2022-0067.
Hou Yanan, Yu Xinwen*, Yang J, Ouyang X, Fan D. Acoustic Sensor-Based Soundscape Analysis and Acoustic Assessment of Bird Species Richness in Shennongjia National Park, China [J]. Sensors. 2022; 22(11): 4117. DOI: 10.3390/s22114117 (IF=3.576)
Hou Yanan, Zhang Xu, Guo Ying, Yu Xinwen*, et.al. Analysis of soundscape components and influencing spatial factors in the Shennongjia National Park, China [J], Journal of Forest and Environment, 2022, 42(1):29-37.
Qi Zhao, Yu Xinwen*, Tan Bingxiang, et.al. Remote Sensing Monitoring and Restoration Evaluation of Ecological Environment in Shennongjia Area [J], Forest Research, 2021, 34(6): 90-98.
Hou Yanan, Guo Ying, Zhang Xu, Yu Xinwen*, et.al. Evaluating Avian Species Richness Using LTSI of Sound Acoustic Indices [J], Journal of Northeast Forestry University, 2021, 49(12): 90-95.
Yang Minglun, Yu Xinwen*, Zhang Xu, et.al. Design and Implementation of the Data Management System for Wild Animal Acoustics [J]. Forest Resources Management, 2021, 0(6): 124-129.
Tan Xing, Yu Xinwen*, Zhang Xu, et.al. Propagation characteristics of LoRa signal at 433 MHz channel in eucalyptus plantation environment [J]. Journal of Forestry Engineering, 2020, 5(02): 137-143.
Yu Xinwen, Zhang Wenge, Zhang Xu, et.al. IoT Big Data platform based data management system for West Tainshan Forest Ecosystem Research Station [J]. DEStech Transactions on Engineering and Technology Research, 535-539.
Feng Pengfei, Yu Xinwen*, Zhang Xu, et.al. Propagation characteristics of different wireless channels in conifer forest [J]. Journal of Fujian Agriculture and Forestry University (Natural Science Edition), 2016, 45(6):713-718.
Liu Haiyang, Yu Xinwen*, Zhang Xu, et.al. Transmission properties of wireless signal in coniferous forest [J]. Journal of Forestry Engineering, 2016, 1(03):127-132.
Liu Haiyang, Yu Xinwen*, Zhang Xu. Performance testing of forest environmental factor collection system based on wireless sensor network [J]. Forest Science and Technology, 2016(1): 68-70.
Feng Pengfei, Yu Xinwen*, Zhang Xu. Variations in Negative Air Ion Concentrations Associated with Different Vegetation Types and Influencing Factors in Beijing [J]. Ecology and Environmental Sciences, 2015, 24(5): 818-824.
Zhang Xueqin, Zhang Xu*, Yu Xinwen, et.al. Study on satellite-ground combining positioning in high canopy stands[J]. Journal of Nanjing Forestry University (Natural Science Edition), 2015, 58(03): 25-28.DOI: 10.3969/j.issn.1000-2006.2015.03.005.
Yu Xinwen, Liu Gaiping, Liu Hongyu, Yin Zhongdong*. A Web GIS Application of Desertification Status of Ruoergai Area [J]. Advanced Materials Research. 838: 1981-1984.
Zhang Xueqin, Zhang Xu*, Yu Xinwen. Application research of satellite-ground positioning technology in forestry [J]. Applied Mechanics and Materials, 2014, 530-531:715-723.
Yu Xinwen, Liu Hongyu, Yang Yanchen, et.al. Geoserver based forestry spatial data sharing and integration [J]. Applied Mechanics and Materials. 2013, 295: 2394-2398.
Yu Xinwen, Zhang Wenge, Yang Yanchen, et.al. A GIS based assistant information system for forest fire prevention direction [J]. Applied Mechanics and Materials.2013, 303: 2215-2218.
Yu Xinwen, Yang Yanchen, Zhang Xu, et al. A GIS Based Decision Support System for the Cultivation and Management of Eucalypt [J]. Advanced Materials Research, 2011, 403: 2607-2611.
Yu Xinwen, Yang Yanchen, Zhang Xu. A meteorological data service system and its application [J]. Advanced Materials Research. 2011, 304: 310-315.
Liu Hongyu, Yu Xinwen, Yang Yanchen, et.al. 2011, Analysis of Microclimate Monitoring in Desert Region with Wireless Sensor Network [C]. International Conference on Internet Technology and Applications, 2011, Wuhan, China, DOI: 10.1109/ITAP.2011.6006194.
Yu Xinwen, Zhang Xu, Fan Dongpu, et.al. A low-power field sound acquisition system based on LoRa communication: ZL202010466202.0[P]. 2022-05-24.
Yu Xinwen, Zhang Xu, Fan Dongpu, et.al. Method for measuring the diameter of single tree based on angle change: 20211104190[P]. 2021-08-11.
Yu Xinwen, Fan Dongpu, Zhang Xu, et.al. An automatic, continuous measuring device for the diameter of individual trees: ZL202120217137.8[P]. 2021-08-11.
Yu Xinwen, Fan Dongpu, Zhang Xu, et.al. An IoT gateway device based on LoRa-MQTT protocol: ZL202120441805.5[P], 2021-08-05.
Yu Xinwen, Fan Dongpu, Zhang Xu, et.al. A LoRa-based IoT acquisition node device: ZL202120432417.0[P]. 2021-08-04
Zhang Xu, Yu Xinwen, Fan Dongpu, et.al. Forestry IoT system based on cloud platform: ZL201310415467.8[P]. 2017-10-24.
Yu Xinwen, Liu Haiyang, Zhang Xu, et.al. A continuous automatic field sound collection device: ZL201720125425.4[P]. 2017-08-15.
Yu Xinwen, Liu Haiyang, Zhang Xu, et.al. A U-shaped stump diameter measurement device: ZL2016020509297.9[P]. 2017-01-11.
Yu Xinwen, Liu Haiyang, Zhang Xu, et.al. A sensor for measuring tree diameter at breast height: ZL201620044868.6[P]. 2016-08-17.
Yu Xinwen, Zhang Xu, Fan Dongpu, et.al. A forest environmental factor collection unit: ZL201520706898.4[P]. 2016-05-25.
Zhang Xu, Yu Xinwen, Fan Dongpu, et.al. A wireless sensor gateway: ZL201320506527.2[P]. 2014-01-29.
Yu Xinwen, Zhang Xu, Fan Dongpu, et.al. A satellite transmission system: ZL201320206302.7[P]. 2014-01-15.
