Qingkun Li

433 citations
32 papers · 268 · h-index 10

Impact in

Papers in

Qingkun Li

25 papers receiving 261 citations

Peers

Qingkun Li
Comparison fields: 5 of 47
  • Hardware and Architecture 60
  • Safety, Risk, Reliability and Quality 48
  • Automotive Engineering 57
  • Social Psychology 73
  • Software 10
Replace N. Sertac Artan with:
N. Sertac Artan United States
Anirban Dasgupta India
Hans-Peter Schöner Germany
Zizheng Guo China
Katherine Shu-Min Li Taiwan
Huabiao Qin China
Sarthak Gupta India
Duy Tran United States
Md. Mokammel Haque Bangladesh
Chika Sugimoto Japan
Qingkun Li relative to N. Sertac Artan United States N. Sertac Artan's profile →
Citations per field
00.5×10.4×
N. Sertac Artan · 1×
Citations per year

Countries citing papers authored by Qingkun Li

Since Specialization
Citations

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

Fields of papers citing papers by Qingkun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201345
2 202134
3 202231
4 201323
5 201317
6 202415
7 202215
8 202115
9 202312
10 202311
11 20169
12 20237
13 20236
14 20245
15 20244
16 20133
17 20233
18 20153
19 20232
20 20222

About Qingkun Li

Qingkun Li is a scholar working on Social Psychology, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, Automotive Engineering and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 268 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (13 papers), Traffic and Road Safety (8 papers), Autonomous Vehicle Technology and Safety (6 papers), Advanced Memory and Neural Computing (5 papers), Neuroscience and Neural Engineering (4 papers), Safety Warnings and Signage (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Sleep and Work-Related Fatigue (2 papers). The work is most often cited by research in Hardware and Architecture (60 citations), Safety, Risk, Reliability and Quality (48 citations), Automotive Engineering (57 citations), Social Psychology (73 citations) and Software (10 citations). Qingkun Li has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Wenjun Wang, Zhenyuan Wang, Matthew G. Burgess, Andrew DeOrio, Bo Cheng, Valeria Bertacco, Guofa Li, Quan Yuan, Reetuparna Das and Korey Sewell. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Advanced Engineering Informatics, Accident Analysis & Prevention, iScience and Knowledge-Based Systems.

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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