Naikan Ding

417 citations
37 papers · 249 · h-index 10

Impact in

Papers in

Naikan Ding

32 papers receiving 245 citations

Peers

Naikan Ding
Comparison fields: 5 of 46
  • Safety, Risk, Reliability and Quality 155
  • Automotive Engineering 86
  • Social Psychology 89
  • Building and Construction 52
  • Control and Systems Engineering 80
Replace Lian Xie with:
Lian Xie China
Valentina Branzi Italy
Jean‐Michel Auberlet France
Chaozhong Wu China
Xianhui Wu China
Mariano Pernetti Italy
Yiping Wu China
Cole Fitzpatrick United States
Arianna Bichicchi Italy
Melisa D. Finley United States
Naikan Ding relative to Lian Xie China Lian Xie's profile →
Citations per field
00.5×2.7×
Lian Xie · 1×
Citations per year

Countries citing papers authored by Naikan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Naikan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201938
2 201824
3 202319
4 202415
5 202415
6 202114
7 202014
8 202112
9 202312
10 201710
11 20229
12 20229
13 20218
14 20217
15 20256
16 20245
17 20214
18 20254
19 20244
20 20233

About Naikan Ding

Naikan Ding is a scholar working on Safety, Risk, Reliability and Quality, Automotive Engineering, Social Psychology, Control and Systems Engineering and Building and Construction, having authored 37 papers that have together received 249 indexed citations. Recurring topics across this work include Traffic and Road Safety (21 papers), Traffic control and management (11 papers), Human-Automation Interaction and Safety (10 papers), Autonomous Vehicle Technology and Safety (8 papers), Safety Warnings and Signage (8 papers), Traffic Prediction and Management Techniques (7 papers), Vehicle emissions and performance (5 papers) and Advanced Battery Technologies Research (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (155 citations), Automotive Engineering (86 citations), Social Psychology (89 citations), Building and Construction (52 citations) and Control and Systems Engineering (80 citations). Naikan Ding has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Shunying Zhu, Hui Zhang, Bing Liu, Hong Wang, Yifan Sun, Chuanyun Fu, Bing Liu, Xin Li, Chaozhong Wu and H. Wang. Their work appears in journals such as Accident Analysis & Prevention, Safety Science, SAE technical papers on CD-ROM/SAE technical paper series, IEEE Transactions on Intelligent Transportation Systems and Applied Sciences.

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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