Chenyan Xiong

172 total papers · 4.8k total citations
65 papers, 1.7k citations indexed

About

Chenyan Xiong is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chenyan Xiong has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 20 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chenyan Xiong's work include Topic Modeling (47 papers), Natural Language Processing Techniques (20 papers) and Information Retrieval and Search Behavior (15 papers). Chenyan Xiong is often cited by papers focused on Topic Modeling (47 papers), Natural Language Processing Techniques (20 papers) and Information Retrieval and Search Behavior (15 papers). Chenyan Xiong collaborates with scholars based in United States, China and United Kingdom. Chenyan Xiong's co-authors include Jamie Callan, Zhiyuan Liu, Russell Power, Paul N. Bennett, Zhuyun Dai, Maosong Sun, Zhenghao Liu, Lee Xiong, Jialin Liu and Junaid Ahmed and has published in prestigious journals such as Information Retrieval, ACM SIGIR Forum and Research Explorer (The University of Manchester).

In The Last Decade

Chenyan Xiong

61 papers receiving 1.6k citations

Hit Papers

Explicit Semantic Ranking... 2017 2026 2020 2023 2017 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Chenyan Xiong 1.5k 527 358 169 60 65 1.7k
Shujian Huang 1.5k 1.0× 614 1.2× 538 1.5× 109 0.6× 51 0.8× 95 1.8k
Qingyao Ai 1.3k 0.8× 993 1.9× 347 1.0× 165 1.0× 32 0.5× 88 1.6k
Yelong Shen 1.4k 0.9× 476 0.9× 531 1.5× 94 0.6× 69 1.1× 49 1.8k
Zhifang Sui 1.6k 1.1× 250 0.5× 355 1.0× 122 0.7× 100 1.7× 115 2.0k
Hang Li 1.0k 0.7× 464 0.9× 249 0.7× 125 0.7× 75 1.3× 37 1.4k
Hamed Zamani 1.4k 0.9× 931 1.8× 455 1.3× 150 0.9× 51 0.8× 96 1.9k
John Prager 1.7k 1.1× 526 1.0× 305 0.9× 123 0.7× 152 2.5× 48 2.1k
Ting Liu 1.5k 1.0× 250 0.5× 275 0.8× 87 0.5× 109 1.8× 94 1.9k
Xianpei Han 1.8k 1.2× 400 0.8× 222 0.6× 481 2.8× 114 1.9× 95 2.0k
Massimiliano Ciaramita 1.7k 1.1× 646 1.2× 181 0.5× 147 0.9× 202 3.4× 52 2.0k

Countries citing papers authored by Chenyan Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Chenyan Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenyan Xiong

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