Xiaorui Jiang

66 papers receiving 1.1k citations

Peers

Xiaorui Jiang
Comparison fields: 5 of 152
  • Complementary and alternative medicine 91
  • Statistics, Probability and Uncertainty 81
  • Pharmacology 73
  • Cancer Research 87
  • Statistical and Nonlinear Physics 69
Replace Zijing Liu with:
Zijing Liu China
Xiaowei Xu China
Hanchen Xu China
Mano R. Maurya United States
Xuan Liu China
Xuan Lin China
Zhengjie Huang China
Hong Guo China
Rui Xie United States
Chunyu Wang China
Xiaorui Jiang relative to Zijing Liu China Zijing Liu's profile →
Citations per field
00.5×20×40×62×
Zijing Liu · 1×
Citations per year

Countries citing papers authored by Xiaorui Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaorui Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaorui Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaorui Jiang Line = papers co-authored together Xiaorui Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013105
2 201590
3 200888
4 201678
5 201458
6 201236
7 201133
8 201532
9 201731
10
The change tendency of PI3K/Akt pathway after spinal cord injury.
201531
11 202128
12 201525
13 201624
14 201624
15 201224
16 201523
17 201322
18 201920
19 201919
20 201919

About Xiaorui Jiang

Xiaorui Jiang is a scholar working on Molecular Biology, Artificial Intelligence, Statistical and Nonlinear Physics, Surgery and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Bone Tissue Engineering Materials (6 papers), Topic Modeling (5 papers), Mesenchymal stem cell research (4 papers), Advanced Database Systems and Queries (4 papers), Advanced Text Analysis Techniques (4 papers), Data Visualization and Analytics (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Complementary and alternative medicine (91 citations), Statistics, Probability and Uncertainty (81 citations), Pharmacology (73 citations), Cancer Research (87 citations) and Statistical and Nonlinear Physics (69 citations). Xiaorui Jiang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hai Zhuge, Ronghua Liang, Guanwei Fan, Xiumei Gao, Yan Zhu, Xiaoping Sun, Chunfu Wu, Jingyu Yang, Yuan Zhang and Lina Su. Their work appears in journals such as Journal of the Association for Information Science and Technology, Scientometrics, Scientific Reports, European Journal of Medicinal Chemistry and Proceedings of the VLDB Endowment.

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