Chenglong Wang

87 total papers · 1.6k total citations
36 papers, 799 citations indexed

About

Chenglong Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Chenglong Wang has authored 36 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Chenglong Wang's work include Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Data Quality and Management (4 papers). Chenglong Wang is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Data Quality and Management (4 papers). Chenglong Wang collaborates with scholars based in China, United States and Saudi Arabia. Chenglong Wang's co-authors include Alvin Cheung, Rastislav Bodík, Feiping Nie, Xuelong Li, Dominik Moritz, Bill Howe, Jeffrey Heer, Adam M. Smith, Greg L. Nelson and Hongxia Yang and has published in prestigious journals such as IEEE Transactions on Information Theory, Applied Energy and Sensors.

In The Last Decade

Chenglong Wang

33 papers receiving 777 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Chenglong Wang 374 315 138 118 76 36 799
Christopher J. Van Wyk 166 0.4× 308 1.0× 71 0.5× 121 1.0× 124 1.6× 49 941
Qingquan Song 555 1.5× 238 0.8× 118 0.9× 56 0.5× 55 0.7× 23 1.0k
P.W. Grant 361 1.0× 307 1.0× 48 0.3× 90 0.8× 68 0.9× 54 736
Krešimir Matković 183 0.5× 538 1.7× 45 0.3× 133 1.1× 46 0.6× 80 797
Nikos Karampatziakis 340 0.9× 382 1.2× 72 0.5× 147 1.2× 138 1.8× 16 916
Rafael M. Martins 417 1.1× 483 1.5× 55 0.4× 86 0.7× 28 0.4× 39 911
Jeffrey Ho 142 0.4× 637 2.0× 43 0.3× 92 0.8× 25 0.3× 65 1.0k
Junyu Xuan 586 1.6× 216 0.7× 148 1.1× 56 0.5× 94 1.2× 58 935
Lin Xu 363 1.0× 144 0.5× 129 0.9× 44 0.4× 162 2.1× 38 868
Ilir Jusufi 270 0.7× 566 1.8× 84 0.6× 90 0.8× 104 1.4× 35 899

Countries citing papers authored by Chenglong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chenglong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglong Wang

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