Bingning Wang

845 citations
38 papers · 457 · h-index 12

Impact in

Papers in

Bingning Wang

34 papers receiving 445 citations

Peers

Bingning Wang
Comparison fields: 5 of 80
  • Artificial Intelligence 211
  • Water Science and Technology 48
  • Computer Vision and Pattern Recognition 66
  • Information Systems 58
  • Pulmonary and Respiratory Medicine 61
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Citations per year

Countries citing papers authored by Bingning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bingning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bingning Wang, 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 Bingning Wang Line = papers co-authored together Bingning Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016116
2 201664
3 201629
4 201725
5 202024
6 201723
7 202017
8 202416
9 202015
10 201514
11 202311
12 202511
13 201910
14 201710
15
Employing external rich knowledge for machine comprehension
20168
16 20247
17 20207
18
PIK3CA mutations and downstream effector p-mTOR expression: implication for prognostic factors and therapeutic targets in triple negative breast cancer.
20176
19 20235
20 20195

About Bingning Wang

Bingning Wang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Oncology, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 457 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Advanced Battery Materials and Technologies (8 papers), Natural Language Processing Techniques (7 papers), Advancements in Battery Materials (7 papers), Lung Cancer Treatments and Mutations (6 papers), Multimodal Machine Learning Applications (5 papers), Advanced Battery Technologies Research (4 papers) and Lung Cancer Research Studies (3 papers). The work is most often cited by research in Artificial Intelligence (211 citations), Water Science and Technology (48 citations), Computer Vision and Pattern Recognition (66 citations), Information Systems (58 citations) and Pulmonary and Respiratory Medicine (61 citations). Bingning Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Kang Liu, Jun Zhao, Lizhi Zhang, Wenjuan Shen, Zhihui Ai, Yi Mu, Jianming Ying, Lei Guo, Jingfang Xu and Qi Zhang. Their work appears in journals such as Applied Surface Science, ACS Energy Letters, Journal of Advanced Research, BMC Cancer and Diagnostic Pathology.

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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