Ning Bian

706 citations
40 papers · 453 indexed · h-index 12

Impact in

Papers in

Ning Bian

37 papers receiving 442 citations

Peers

Ning Bian
Comparison fields: 5 of 98
  • Automotive Engineering 201
  • Control and Systems Engineering 141
  • Geriatrics and Gerontology 15
  • Safety, Risk, Reliability and Quality 33
  • Experimental and Cognitive Psychology 43
Replace Yingshi Guo with:
Yingshi Guo China
Naohisa Hashimoto Japan
Alberto Díaz-Álvarez Spain
Josef Nilsson Sweden
Cătălin Daniel Căleanu Romania
Mutaz Ryalat Jordan
Tianyu Shen China
Hisham ElMoaqet Jordan
Fahmid Al Farid Malaysia
Haojie Zhu China
Ning Bian relative to Yingshi Guo China Yingshi Guo's profile →
Citations per field
00.5×3.3×
Yingshi Guo · 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-authorship network

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
#Work
1 20250
2 20241
3 20242
4 20244
5 20233
6 202339
7 20231
8 20231
9 202314
10 20227
11 202211
12 202211
13 20202
14 20202
15 20197
16 20182
17 201711
18 20171
19 20172
20 201457

About Ning Bian

Ning Bian is a scholar working on Automotive Engineering, Control and Systems Engineering, Biological Psychiatry, Safety, Risk, Reliability and Quality and Nephrology, having authored 40 papers that have together received 453 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), Traffic Prediction and Management Techniques (3 papers), Vehicle emissions and performance (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Automotive Engineering (201 citations), Control and Systems Engineering (141 citations), Geriatrics and Gerontology (15 citations), Safety, Risk, Reliability and Quality (33 citations) and Experimental and Cognitive Psychology (43 citations). Ning Bian has collaborated with scholars based in China, Canada and Germany. Frequent co-authors include Hong Chen, Weiwen Deng, Bingzhao Gao, Rui He, Jian Zhao, Bing Zhu, Hongqing Chu, Jianguang Zhou, Lulu Guo 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 Intelligent Transport Systems, Information Fusion and Fire.

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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