The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Weihong Li sits on this spectrum.
This scientist: 169 publications — 51st percentile
51% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 687 publications or more.
The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Weihong Li sits on this spectrum.
This scientist: 44 D-Index — 32nd percentile
32% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 125 D-Index or more.
Weihong Li is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to the fields of computer science and environmental science. Their research spans multiple subfields, including computer vision and pattern recognition, artificial intelligence, global and planetary change, atmospheric science, and media technology.
Their research topics focus primarily on advanced neural network applications, domain adaptation and few-shot learning, multimodal machine learning applications, advanced vision and imaging, advanced image processing techniques, advanced image and video retrieval techniques, and image processing techniques and applications.
Weihong Li's frequent publication venues include:
They have collaborated regularly with several coauthors, among whom are Hakan Bilen, Xialei Liu, Yaning Chen, Weiguo Gong, and Aihong Fu.
Notable recent publications by Weihong Li cover a range of topics related to computer vision and machine learning:
In addition to these Li has contributed to other significant works in related fields, such as "A survey on federated learning" published in 2021 in Knowledge-Based Systems, which has garnered notable attention in the research community.
The breadth of Weihong Li's research reflects an interdisciplinary approach, bridging computer science techniques with environmental science concerns. The integration of artificial intelligence and computer vision methods into environmental monitoring and planetary change studies is evident from their publication record.
Yaning Chen;Weihong Li;Haijun Deng;Gonghuan Fang
Zhi Li;Yaning Chen;Weihong Li;Haijun Deng
Xingming Hao;Yaning Chen;Changchun Xu;Weihong Li
Huaijun J. Wang;Yaning N. Chen;Yingping P. Pan;Weihong Li
Ya-ning Chen;Wei-hong Li;Chang-chun Xu;Xin-ming Hao
Haijun Deng;Yaning Chen;Xun Shi;Weihong Li
Baofu Li;Yaning Chen;Xun Shi;Zhongsheng Chen
Yaning Chen;Zhi Li;Gonghuan Fang;Weihong Li
Lihong Meng;Yaning Chen;Weihong Li;Ruifeng Zhao
Yaning Chen;Changchun Xu;Yapeng Chen;Weihong Li
Yaning Chen;Zhonghe Pang;Yapeng Chen;Weihong Li
Jianhua Xu;Yaning Chen;Feng Lu;Weihong Li
Yaning Chen;Weihong Li;Changchun Xu;Zhaoxia Ye
Yaning Chen;Changchun Xu;Yapeng Chen;Yongbo Liu
Unknown
Haiyan Chen;Yaning Chen;Weihong Li;Zhi Li
Baofu Li;Yaning Chen;Zhongsheng Chen;Weihong Li
Yuting Fan;Yaning Chen;Yongbo Liu;Weihong Li
Xingming Hao;Weihong Li;Haijun Deng
Yaning Chen;Weihong Li;Haijun Deng;Gonghuan Fang
Yaning Chen;Yapeng Chen;Weihong Li;Hongfeng Zhang
Huaijun Wang;Yaning Chen;Weihong Li;Haijun Deng
H. H. Zhou;Y. N. Chen;W. H. Li;Y. P. Chen
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