Weiran Huang

1.4k total citations
25 papers, 513 citations indexed

About

Weiran Huang is a scholar working on Artificial Intelligence, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Weiran Huang has authored 25 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Weiran Huang's work include Computational Drug Discovery Methods (4 papers), Complex Network Analysis Techniques (4 papers) and Ferroptosis and cancer prognosis (3 papers). Weiran Huang is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Complex Network Analysis Techniques (4 papers) and Ferroptosis and cancer prognosis (3 papers). Weiran Huang collaborates with scholars based in China, United Kingdom and Sweden. Weiran Huang's co-authors include Aoxue Li, Liwei Wang, Zhenguo Li, Lan Xu, Jiashi Feng, Zhengwei Xie, Tiange Luo, Tao Xiang, Jingxiang Wang and Xiangnan He and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Applied Microbiology and Biotechnology.

In The Last Decade

Weiran Huang

23 papers receiving 507 citations

Peers

Weiran Huang
Comparison fields: 5 of 107
  • Artificial Intelligence 258
  • Computer Vision and Pattern Recognition 150
  • Molecular Biology 88
  • Radiology, Nuclear Medicine and Imaging 42
  • Civil and Structural Engineering 38
Replace Ashima Singh with:
Ashima Singh India
Andrea Bommert Germany
Xinsheng Wang China
Simon Bernard France
Tianyu Liu China
Shanzhi Gu China
Yadi Wang China
Hao Fang China
Ashima Singh India View profile →
Citations per field, relative to Weiran Huang
Weiran Huang · 1×
Citations per year, relative to Weiran Huang
Weiran Huang · 1×

Countries citing papers authored by Weiran Huang

Since Specialization
Citations

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

Fields of papers citing papers by Weiran Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiran Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Weiran Huang. A scholar is included among the top collaborators of Weiran Huang 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 Weiran Huang. Weiran Huang 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 0
3 1
4 5
5 1
6 40
7 12
8 4
9 41
10 3
11 35
12 9
13 42
14 23
15 36
16 12
17 16
18 66
19
Multi-Round Influence Maximization (Extended Version).
1
20 3

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