Jinsong Su

289 total papers · 4.0k total citations
152 papers, 2.1k citations indexed

About

Jinsong Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jinsong Su has authored 152 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Artificial Intelligence, 64 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Jinsong Su's work include Topic Modeling (109 papers), Natural Language Processing Techniques (103 papers) and Multimodal Machine Learning Applications (54 papers). Jinsong Su is often cited by papers focused on Topic Modeling (109 papers), Natural Language Processing Techniques (103 papers) and Multimodal Machine Learning Applications (54 papers). Jinsong Su collaborates with scholars based in China, United States and Poland. Jinsong Su's co-authors include Deyi Xiong, Biao Zhang, Rongrong Ji, Hong Duan, Jun Xie, Xiaoshuai Sun, Jiebo Luo, Biao Zhang, Jiali Zeng and Yiyi Zhou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.

In The Last Decade

Jinsong Su

139 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Jinsong Su 1.7k 875 139 69 63 152 2.1k
Chunyuan Li 1.6k 1.0× 1.5k 1.8× 113 0.8× 90 1.3× 40 0.6× 78 2.9k
Rico Sennrich 2.6k 1.6× 935 1.1× 224 1.6× 97 1.4× 51 0.8× 108 3.1k
Deyi Xiong 2.1k 1.3× 641 0.7× 173 1.2× 60 0.9× 45 0.7× 177 2.4k
Lifeng Shang 1.5k 0.9× 890 1.0× 250 1.8× 115 1.7× 99 1.6× 81 2.1k
Peng Gao 736 0.4× 1.1k 1.3× 91 0.7× 56 0.8× 90 1.4× 103 2.0k
Wei Wu 2.1k 1.2× 740 0.8× 393 2.8× 46 0.7× 37 0.6× 124 2.6k
Zhi Tang 597 0.4× 1.6k 1.8× 125 0.9× 48 0.7× 51 0.8× 131 2.1k
Jiajun Zhang 1.9k 1.1× 792 0.9× 103 0.7× 87 1.3× 47 0.7× 168 2.3k
De‐Chuan Zhan 1.6k 1.0× 1.0k 1.2× 156 1.1× 147 2.1× 84 1.3× 101 2.1k
Santiago Ontañón 1.5k 0.9× 518 0.6× 114 0.8× 96 1.4× 116 1.8× 139 2.1k

Countries citing papers authored by Jinsong Su

Since Specialization
Citations

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

Fields of papers citing papers by Jinsong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinsong Su

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