Xiujun Gong

572 total citations
28 papers, 369 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 369 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, Yijie Ding, Mi Zhang, Honghe Sun, Fei Guo, Zhangjun Fei, Shan Gao 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 362 citations

Peers

Xiujun Gong
Comparison fields: 5 of 93
  • Molecular Biology 285
  • Computational Theory and Mathematics 69
  • Plant Science 37
  • Genetics 20
  • Artificial Intelligence 18
Replace Leonardo Henrique França de Lima with:
Leonardo Henrique França de Lima Brazil
Khalid Kunji Qatar
Bandana Kumari India
Ankita Singh India
Daniel Berenberg United States
David Belanger United States
Ishita Khan United States
Yixiao Zhai China
Drew Bryant United States
Wolfgang Fleischmann United Kingdom
Leonardo Henrique França de Lima Brazil View profile →
Citations per field, relative to Xiujun Gong
Xiujun Gong · 1×
Citations per year, relative to Xiujun Gong
Xiujun Gong · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 4
2 8
3 0
4 1
5 1
6 13
7 6
8 103
9 55
10 49
11 2
12 2
13
Hybridizing Adaptive Biogeography-Based Optimization with Differential Evolution for Motif Discovery Problem
1
14 0
15 4
16 1
17 14
18 2
19
Toward building grid applications in bioinformatics
1
20
Semi-Supervised Web Mining Based on Bayes Latent Semantic Model
4

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026