Shengwen Li

124 total papers · 1.0k total citations
72 papers, 644 citations indexed

About

Shengwen Li is a scholar working on Artificial Intelligence, Transportation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shengwen Li has authored 72 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Transportation and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shengwen Li's work include Human Mobility and Location-Based Analysis (15 papers), Topic Modeling (10 papers) and Remote-Sensing Image Classification (9 papers). Shengwen Li is often cited by papers focused on Human Mobility and Location-Based Analysis (15 papers), Topic Modeling (10 papers) and Remote-Sensing Image Classification (9 papers). Shengwen Li collaborates with scholars based in China, United States and Japan. Shengwen Li's co-authors include Jay Lee, Xinyue Ye, Qin Cheng-lin, Fang Fang, Bo Wan, Xining Yang, Jay Lee, Yuanyuan Liu, Hong Yao and Shunping Zhou and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Hydrology and Expert Systems with Applications.

In The Last Decade

Shengwen Li

60 papers receiving 625 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shengwen Li 105 102 90 89 87 72 644
Peng Luo 193 1.8× 90 0.9× 81 0.9× 83 0.9× 143 1.6× 78 790
Yiqun Xie 95 0.9× 130 1.3× 62 0.7× 42 0.5× 129 1.5× 69 603
Zhewei Liu 146 1.4× 224 2.2× 39 0.4× 37 0.4× 52 0.6× 42 630
Yan Shi 149 1.4× 189 1.9× 25 0.3× 60 0.7× 145 1.7× 74 747
Xiaokang Fu 133 1.3× 150 1.5× 20 0.2× 65 0.7× 64 0.7× 38 688
Jingxiong Zhang 245 2.3× 58 0.6× 93 1.0× 44 0.5× 63 0.7× 57 786
Jiannan Cai 98 0.9× 150 1.5× 22 0.2× 46 0.5× 45 0.5× 37 569
Hongzan Jiao 246 2.3× 237 2.3× 195 2.2× 63 0.7× 42 0.5× 46 755
Narushige Shiode 94 0.9× 131 1.3× 26 0.3× 61 0.7× 19 0.2× 42 722
Hao Yang 45 0.4× 89 0.9× 34 0.4× 79 0.9× 85 1.0× 71 781

Countries citing papers authored by Shengwen Li

Since Specialization
Citations

This map shows the geographic impact of Shengwen Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shengwen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengwen Li more than expected).

Fields of papers citing papers by Shengwen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shengwen Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shengwen Li. The network helps show where Shengwen Li may publish in the future.

Co-authorship network of co-authors of Shengwen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shengwen Li. A scholar is included among the top collaborators of Shengwen Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shengwen Li. Shengwen Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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