Ning Bian

729 citations
40 papers · 484 · h-index 12

Impact in

Papers in

Ning Bian

37 papers receiving 475 citations

Peers

Ning Bian
Comparison fields: 5 of 97
  • Automotive Engineering 207
  • Control and Systems Engineering 143
  • Geriatrics and Gerontology 16
  • Experimental and Cognitive Psychology 50
  • Safety, Risk, Reliability and Quality 34
Replace Naohisa Hashimoto with:
Naohisa Hashimoto Japan
Josef Nilsson Sweden
Akshay Rangesh United States
Alberto Díaz-Álvarez Spain
Chika Sugimoto Japan
Tae‐Koo Kang South Korea
Tianyu Shen China
Fahmid Al Farid Malaysia
Joonki Hong South Korea
Ning Bian relative to Naohisa Hashimoto Japan Naohisa Hashimoto's profile →
Citations per field
00.5×4.6×
Naohisa Hashimoto · 1×
Citations per year

Countries citing papers authored by Ning Bian

Since Specialization
Citations

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

Fields of papers citing papers by Ning Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 201881
3 201460
4 202351
5 202020
6 201715
7 202314
8 202014
9 202213
10 202212
11 202111
12 201911
13 201711
14 20239
15 20229
16 20197
17 20227
18 20175
19 20245
20 20234

About Ning Bian

Ning Bian is a scholar working on Automotive Engineering, Control and Systems Engineering, Molecular Biology, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 484 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (15 papers), Traffic control and management (11 papers), Vehicle Dynamics and Control Systems (7 papers), Vehicle emissions and performance (3 papers), Traffic Prediction and Management Techniques (3 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Real-time simulation and control systems (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Automotive Engineering (207 citations), Control and Systems Engineering (143 citations), Geriatrics and Gerontology (16 citations), Experimental and Cognitive Psychology (50 citations) and Safety, Risk, Reliability and Quality (34 citations). Ning Bian has collaborated with scholars based in China, Canada and Germany. Frequent co-authors include Hong Chen, Weiwen Deng, Bing Zhu, Bingzhao Gao, Rui He, Jian Zhao, Hongqing Chu, Lulu Guo, Jianguang Zhou and Yulei Wang. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Frontiers in Cardiovascular Medicine, IET Control Theory and Applications, Information Fusion and IEEE Control Systems Letters.

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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