Jiang Xie

862 total citations
68 papers, 600 citations indexed

About

Jiang Xie is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jiang Xie has authored 68 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 8 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jiang Xie's work include Bioinformatics and Genomic Networks (19 papers), Gene Regulatory Network Analysis (9 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Jiang Xie is often cited by papers focused on Bioinformatics and Genomic Networks (19 papers), Gene Regulatory Network Analysis (9 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Jiang Xie collaborates with scholars based in China, United States and Japan. Jiang Xie's co-authors include Jie Yu, Lingyu Xu, Jiyuan Zhang, Tieqiao Wen, Fushuai Wang, Jiao Wang, Suixiang Shi, Huiran Zhang, Lingyu Xu and Xin Diao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Jiang Xie

63 papers receiving 587 citations

Peers

Jiang Xie
Comparison fields: 5 of 120
  • Molecular Biology 150
  • Oceanography 110
  • Artificial Intelligence 75
  • Environmental Engineering 74
  • Global and Planetary Change 63
Replace Christoph S. Garbe with:
Christoph S. Garbe Germany
Alan Li United States
Steve R. Gunn United Kingdom
Kai Wohlfahrt United Kingdom
Huayu Li China
Christiaan Perneel Belgium
Margarida Silveira Portugal
Marc O. Eberhard United States
Yunxia Guo China
Christoph S. Garbe Germany View profile →
Citations per field, relative to Jiang Xie
Jiang Xie · 1×
Citations per year, relative to Jiang Xie
Jiang Xie · 1×

Countries citing papers authored by Jiang Xie

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiang Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Xie. A scholar is included among the top collaborators of Jiang Xie 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 Jiang Xie. Jiang Xie 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 1
2 1
3 1
4 4
5 14
6 8
7 7
8 6
9 11
10 5
11 12
12 12
13 32
14 108
15 5
16 3
17 1
18 16
19
Biomolecular network visualization based on CPSE-Bio
1
20 40

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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