Kelong Mao

58 total papers · 925 total citations
29 papers, 453 citations indexed

About

Kelong Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Kelong Mao has authored 29 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Kelong Mao's work include Topic Modeling (18 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (7 papers). Kelong Mao is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (7 papers). Kelong Mao collaborates with scholars based in China, Canada and Hong Kong. Kelong Mao's co-authors include Xi Xiao, Jieming Zhu, Xiuqiang He, Biao Lu, Zhaowei Wang, Zhicheng Dou, Zhenhua Dong, Quanyu Dai, Jinpeng Wang and Peilin Zhao and has published in prestigious journals such as Neurocomputing, ACM Transactions on Information Systems and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Kelong Mao

25 papers receiving 448 citations

Hit Papers

UltraGCN 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. UltraGCN
    2021 177 citations Kelong Mao, Jieming Zhu et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Kelong Mao 323 281 100 48 29 29 453
Xiyang Liu 280 0.9× 264 0.9× 78 0.8× 32 0.7× 18 0.6× 33 478
Thiago Salles 335 1.0× 136 0.5× 65 0.7× 19 0.4× 45 1.6× 31 507
Yifei Zhang 396 1.2× 125 0.4× 91 0.9× 28 0.6× 12 0.4× 52 517
Longfei Li 320 1.0× 98 0.3× 70 0.7× 72 1.5× 9 0.3× 28 424
Dmitry Pavlov 251 0.8× 254 0.9× 95 0.9× 55 1.1× 4 0.1× 16 489
Long-Kai Huang 277 0.9× 193 0.7× 159 1.6× 51 1.1× 12 0.4× 17 437
X. D. Zhang 444 1.4× 109 0.4× 107 1.1× 45 0.9× 10 0.3× 30 542
Liang Chen 373 1.2× 131 0.5× 126 1.3× 88 1.8× 10 0.3× 39 512
Ting Bai 243 0.8× 290 1.0× 92 0.9× 43 0.9× 10 0.3× 28 453
Bingzhe Wu 260 0.8× 64 0.2× 78 0.8× 50 1.0× 10 0.3× 33 436

Countries citing papers authored by Kelong Mao

Since Specialization
Citations

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

Fields of papers citing papers by Kelong Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelong Mao

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