Bing Wu

1.2k total citations
51 papers, 860 citations indexed

About

Bing Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Cognitive Neuroscience. According to data from OpenAlex, Bing Wu has authored 51 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Epidemiology and 14 papers in Cognitive Neuroscience. Recurrent topics in Bing Wu's work include Advanced MRI Techniques and Applications (13 papers), MRI in cancer diagnosis (9 papers) and Cerebrovascular and Carotid Artery Diseases (9 papers). Bing Wu is often cited by papers focused on Advanced MRI Techniques and Applications (13 papers), MRI in cancer diagnosis (9 papers) and Cerebrovascular and Carotid Artery Diseases (9 papers). Bing Wu collaborates with scholars based in China, United States and United Kingdom. Bing Wu's co-authors include Xinhuai Wu, Shihui Han, Lin Ma, Xin Lou, Xiaoying Wang, Chunwu Zhou, Lihua Mao, Jungang Qin, Xiaojing Xu and Yan Fan and has published in prestigious journals such as Blood, PLoS ONE and NeuroImage.

In The Last Decade

Bing Wu

50 papers receiving 849 citations

Peers

Bing Wu
Comparison fields: 5 of 98
  • Radiology, Nuclear Medicine and Imaging 313
  • Cognitive Neuroscience 226
  • Social Psychology 175
  • Epidemiology 157
  • Pulmonary and Respiratory Medicine 146
Replace Xinhuai Wu with:
Xinhuai Wu China
Stephan Ulmer Germany
Sonia Partap United States
Alessandra Casarotti Italy
Leire Zubiaurre‐Elorza Spain
M. Steiner Austria
Sandra M. Brown United States
Keiko Kunitoki Japan
Christof Walter Germany
C. E. L. Freer United Kingdom
Xinhuai Wu China View profile →
Citations per field, relative to Bing Wu
Bing Wu · 1×
Citations per year, relative to Bing Wu
Bing Wu · 1×

Countries citing papers authored by Bing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Wu. A scholar is included among the top collaborators of Bing Wu 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 Bing Wu. Bing Wu 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 11
3 15
4 9
5 18
6 4
7 7
8 15
9 12
10 15
11 26
12 38
13 6
14 36
15 5
16 33
17 14
18 8
19 14
20 51

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