Renliang Sun

44 total papers · 575 total citations
18 papers, 235 citations indexed

About

Renliang Sun is a scholar working on Artificial Intelligence, Molecular Biology and Cancer Research. According to data from OpenAlex, Renliang Sun has authored 18 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Renliang Sun's work include Natural Language Processing Techniques (6 papers), Text Readability and Simplification (5 papers) and Topic Modeling (4 papers). Renliang Sun is often cited by papers focused on Natural Language Processing Techniques (6 papers), Text Readability and Simplification (5 papers) and Topic Modeling (4 papers). Renliang Sun collaborates with scholars based in China, United States and South Korea. Renliang Sun's co-authors include Yong Deng, Xiaojun Wan, Zhuo Wang, Jian Li, Nathan D. Price, Chen‐Guang Liu, Jie Yao, Qian Liu, Shiping Yang and Xinran Wang and has published in prestigious journals such as IEEE Access, BMC Bioinformatics and PLoS Computational Biology.

In The Last Decade

Renliang Sun

17 papers receiving 229 citations

Author Peers

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

Author Last Decade Papers Cites
Renliang Sun 91 64 56 26 25 18 235
Wenjie You 117 1.3× 86 1.3× 30 0.5× 11 0.4× 11 0.4× 18 297
Fei Zheng 160 1.8× 19 0.3× 23 0.4× 18 0.7× 17 0.7× 20 245
Dawn E. Holmes 115 1.3× 19 0.3× 25 0.4× 15 0.6× 5 0.2× 18 220
Ana María Martínez 188 2.1× 17 0.3× 42 0.8× 15 0.6× 3 0.1× 29 230
Reyes Pavón 131 1.4× 25 0.4× 18 0.3× 11 0.4× 4 0.2× 23 236
Pablo A. D. Castro 152 1.7× 69 1.1× 17 0.3× 9 0.3× 98 3.9× 26 279
Khursheed Alam 38 0.4× 31 0.5× 42 0.8× 11 0.4× 4 0.2× 31 264
Daisuke Okanohara 238 2.6× 69 1.1× 9 0.2× 12 0.5× 5 0.2× 18 332
Hui Zhou 163 1.8× 19 0.3× 46 0.8× 12 0.5× 5 0.2× 26 291
Eva Alfaro-Cid 84 0.9× 15 0.2× 51 0.9× 94 3.6× 5 0.2× 24 260

Countries citing papers authored by Renliang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Renliang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renliang Sun

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