Xiujun Gong

57 total papers · 554 total citations
28 papers, 365 citations indexed

About

Xiujun Gong is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Xiujun Gong has authored 28 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Xiujun Gong's work include Machine Learning in Bioinformatics (7 papers), RNA and protein synthesis mechanisms (6 papers) and Protein Structure and Dynamics (3 papers). Xiujun Gong is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), RNA and protein synthesis mechanisms (6 papers) and Protein Structure and Dynamics (3 papers). Xiujun Gong collaborates with scholars based in China, Japan and United States. Xiujun Gong's co-authors include Hua Yu, Chang Zhou, Hang Li, Zhangjun Fei, Shan Gao, Mi Zhang, Honghe Sun, Yijie Ding, Fei Guo and Xiujuan Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecules.

In The Last Decade

Xiujun Gong

26 papers receiving 358 citations

Author Peers

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

Author Last Decade Papers Cites
Xiujun Gong 285 69 35 20 18 28 365
Leonardo Henrique França de Lima 222 0.8× 44 0.6× 41 1.2× 15 0.8× 13 0.7× 26 310
Khalid Kunji 297 1.0× 63 0.9× 12 0.3× 36 1.8× 14 0.8× 23 388
Narendra Kumar 267 0.9× 25 0.4× 47 1.3× 10 0.5× 15 0.8× 21 364
Sabrina de Azevedo Silveira 205 0.7× 84 1.2× 13 0.4× 8 0.4× 13 0.7× 24 315
Ning Yin 199 0.7× 119 1.7× 17 0.5× 18 0.9× 6 0.3× 23 363
Ankita Singh 244 0.9× 24 0.3× 24 0.7× 25 1.3× 9 0.5× 23 327
Anupam Gautam 196 0.7× 33 0.5× 25 0.7× 15 0.8× 17 0.9× 31 387
Catherine Letondal 221 0.8× 23 0.3× 40 1.1× 44 2.2× 12 0.7× 18 378
Fotis A. Baltoumas 251 0.9× 19 0.3× 20 0.6× 31 1.6× 13 0.7× 34 346
David Belanger 217 0.8× 38 0.6× 15 0.4× 12 0.6× 41 2.3× 13 297

Countries citing papers authored by Xiujun Gong

Since Specialization
Citations

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

Fields of papers citing papers by Xiujun Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiujun Gong

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