Kaiqiang Song

73 total papers · 850 total citations
29 papers, 362 citations indexed

About

Kaiqiang Song is a scholar working on Artificial Intelligence, Information Systems and Ecology. According to data from OpenAlex, Kaiqiang Song has authored 29 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Ecology. Recurrent topics in Kaiqiang Song's work include Topic Modeling (21 papers), Natural Language Processing Techniques (18 papers) and Advanced Text Analysis Techniques (10 papers). Kaiqiang Song is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (18 papers) and Advanced Text Analysis Techniques (10 papers). Kaiqiang Song collaborates with scholars based in United States, China and Netherlands. Kaiqiang Song's co-authors include Fei Liu, Jie Jiang, Logan Lebanoff, Dong Yu, Zhe Feng, Bingqing Wang, Xiaoyang Wang, Lin Zhao, Ren Liu and Wenlin Yao and has published in prestigious journals such as International Journal of Molecular Sciences, Remote Sensing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Kaiqiang Song

26 papers receiving 349 citations

Author Peers

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

Author Last Decade Papers Cites
Kaiqiang Song 233 85 72 40 37 29 362
Mohamed Farah 85 0.4× 192 2.3× 118 1.6× 38 0.9× 106 2.9× 28 402
Yi Huang 245 1.1× 134 1.6× 57 0.8× 17 0.4× 87 2.4× 31 394
Wei Yuan 65 0.3× 90 1.1× 31 0.4× 11 0.3× 88 2.4× 31 313
Zhixin Qi 62 0.3× 137 1.6× 76 1.1× 95 2.4× 26 0.7× 23 387
Ping Jian 266 1.1× 59 0.7× 33 0.5× 19 0.5× 95 2.6× 38 377
Yu Zhang 74 0.3× 135 1.6× 82 1.1× 34 0.8× 81 2.2× 18 377
Chen Yang 56 0.2× 59 0.7× 27 0.4× 10 0.3× 60 1.6× 39 321
Huan Xu 43 0.2× 24 0.3× 68 0.9× 27 0.7× 33 0.9× 19 310
Roozbeh Rajabi 77 0.3× 163 1.9× 104 1.4× 22 0.6× 77 2.1× 27 399
Moumita Roy 118 0.5× 168 2.0× 111 1.5× 76 1.9× 59 1.6× 37 325

Countries citing papers authored by Kaiqiang Song

Since Specialization
Citations

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

Fields of papers citing papers by Kaiqiang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiqiang Song

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