Jiangnan Li

96 total papers · 1.0k total citations
46 papers, 636 citations indexed

About

Jiangnan Li is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Jiangnan Li has authored 46 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 7 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Jiangnan Li's work include Topic Modeling (9 papers), Sentiment Analysis and Opinion Mining (5 papers) and Natural Language Processing Techniques (4 papers). Jiangnan Li is often cited by papers focused on Topic Modeling (9 papers), Sentiment Analysis and Opinion Mining (5 papers) and Natural Language Processing Techniques (4 papers). Jiangnan Li collaborates with scholars based in China, United States and Macao. Jiangnan Li's co-authors include Jinyuan Sun, Kevin Tomsovic, Zheng Lin, Fuxiang Zhang, Wenjun Fan, Zhen Zhou, Peng Fu, Yucheng Cao, Lirong Zheng and Qinghua Liu and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Energy & Environmental Science.

In The Last Decade

Jiangnan Li

39 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
Jiangnan Li 228 220 133 113 110 46 636
Yuyao Wang 64 0.3× 102 0.5× 97 0.7× 28 0.2× 54 0.5× 38 746
Dongkyu Choi 27 0.1× 330 1.5× 181 1.4× 74 0.7× 13 0.1× 63 789
Xuhui Ren 330 1.4× 48 0.2× 240 1.8× 127 1.1× 88 0.8× 25 679
Mengyuan Zhang 102 0.4× 91 0.4× 152 1.1× 53 0.5× 19 0.2× 45 646
Yuxuan Wang 53 0.2× 258 1.2× 41 0.3× 25 0.2× 50 0.5× 35 641
Jianhong Wang 62 0.3× 52 0.2× 193 1.5× 100 0.9× 5 0.0× 74 772
Haoran Wu 477 2.1× 54 0.2× 229 1.7× 14 0.1× 235 2.1× 50 761
Yongshuai Liu 34 0.1× 94 0.4× 323 2.4× 47 0.4× 9 0.1× 37 595
Mingming Zhang 241 1.1× 41 0.2× 69 0.5× 9 0.1× 17 0.2× 59 559
Mengyao Ma 149 0.7× 66 0.3× 177 1.3× 34 0.3× 25 0.2× 59 609

Countries citing papers authored by Jiangnan Li

Since Specialization
Citations

This map shows the geographic impact of Jiangnan 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 Jiangnan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangnan Li more than expected).

Fields of papers citing papers by Jiangnan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiangnan 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 Jiangnan Li. The network helps show where Jiangnan Li may publish in the future.

Co-authorship network of co-authors of Jiangnan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangnan Li. A scholar is included among the top collaborators of Jiangnan 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 Jiangnan Li. Jiangnan 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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