Caiming Xiong

618 total papers · 24.8k total citations
168 papers, 5.7k citations indexed

About

Caiming Xiong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Caiming Xiong has authored 168 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Artificial Intelligence, 70 papers in Computer Vision and Pattern Recognition and 14 papers in Information Systems. Recurrent topics in Caiming Xiong's work include Topic Modeling (72 papers), Natural Language Processing Techniques (62 papers) and Multimodal Machine Learning Applications (47 papers). Caiming Xiong is often cited by papers focused on Topic Modeling (72 papers), Natural Language Processing Techniques (62 papers) and Multimodal Machine Learning Applications (47 papers). Caiming Xiong collaborates with scholars based in United States, China and Singapore. Caiming Xiong's co-authors include Richard Socher, Jiasen Lu, Devi Parikh, Jason J. Corso, Steven C. H. Hoi, Xi Lin, Victor W. Zhong, Ran Xu, Chien-Sheng Wu and Song‐Chun Zhu and has published in prestigious journals such as Journal of Clinical Oncology, Nature Biotechnology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Caiming Xiong

153 papers receiving 5.5k citations

Hit Papers

Knowing When to Look: Ada... 2017 2026 2020 2023 2017 2023 2022 2024 2023 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Caiming Xiong 3.4k 2.9k 488 430 156 168 5.7k
Zhendong Mao 2.3k 0.7× 1.7k 0.6× 420 0.9× 216 0.5× 115 0.7× 109 3.6k
Lei Li 2.8k 0.8× 1.9k 0.7× 513 1.1× 171 0.4× 143 0.9× 283 5.9k
Ben Taskar 4.4k 1.3× 2.1k 0.7× 513 1.1× 533 1.2× 76 0.5× 91 6.5k
Shiping Wang 1.9k 0.5× 1.6k 0.5× 351 0.7× 349 0.8× 61 0.4× 190 3.6k
Xing Wei 2.1k 0.6× 1.7k 0.6× 673 1.4× 146 0.3× 82 0.5× 102 3.6k
Hau−San Wong 2.4k 0.7× 2.1k 0.7× 201 0.4× 641 1.5× 186 1.2× 228 4.4k
Lifang He 2.2k 0.6× 1.0k 0.3× 425 0.9× 312 0.7× 191 1.2× 171 4.1k
Sriparna Saha 3.1k 0.9× 1.0k 0.4× 372 0.8× 845 2.0× 98 0.6× 337 5.0k
Zhongfei Zhang 2.3k 0.7× 3.6k 1.2× 297 0.6× 292 0.7× 185 1.2× 210 5.5k
Kyunghyun Cho 4.6k 1.3× 4.4k 1.5× 362 0.7× 720 1.7× 423 2.7× 100 8.6k

Countries citing papers authored by Caiming Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Caiming Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caiming Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Caiming Xiong. A scholar is included among the top collaborators of Caiming Xiong 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 Caiming Xiong. Caiming Xiong 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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2026