Ni Dong

1.0k citations
24 papers · 852 · h-index 17

Impact in

Papers in

Ni Dong

23 papers receiving 842 citations

Peers

Ni Dong
Comparison fields: 5 of 87
  • Transportation 500
  • Safety, Risk, Reliability and Quality 632
  • Building and Construction 190
  • Speech and Hearing 46
  • Automotive Engineering 72
Replace Helai Huang with:
Helai Huang China
Tanmoy Bhowmik United States
Shahram Heydari United Kingdom
Hanchu Zhou China
Ali Pirdavani Belgium
Απόστολος Ζιακόπουλος Greece
Williams Ackaah Ghana
Behram Wali United States
Lu Ma China
Chowdhury Siddiqui United States
Ni Dong relative to Helai Huang China Helai Huang's profile →
Citations per field
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Helai Huang · 1×
Citations per year

Countries citing papers authored by Ni Dong

Since Specialization
Citations

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

Fields of papers citing papers by Ni Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015137
2 2016101
3 201492
4 201692
5 202053
6 201845
7 202142
8 201441
9 202039
10 201634
11 201733
12 201829
13 201827
14 202418
15 202016
16 201916
17 202116
18 20247
19 20205
20 20244

About Ni Dong

Ni Dong is a scholar working on Safety, Risk, Reliability and Quality, Transportation, Automotive Engineering, Public Health, Environmental and Occupational Health and Building and Construction, having authored 24 papers that have together received 852 indexed citations. Recurring topics across this work include Traffic and Road Safety (16 papers), Urban Transport and Accessibility (10 papers), Injury Epidemiology and Prevention (3 papers), Autonomous Vehicle Technology and Safety (3 papers), Transportation Planning and Optimization (3 papers), Economic and Environmental Valuation (2 papers), Traffic Prediction and Management Techniques (2 papers) and Traffic control and management (2 papers). The work is most often cited by research in Transportation (500 citations), Safety, Risk, Reliability and Quality (632 citations), Building and Construction (190 citations), Speech and Hearing (46 citations) and Automotive Engineering (72 citations). Ni Dong has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Pengpeng Xu, Helai Huang, S.C. Wong, Helai Huang, Liang Zheng, Mohamed Abdel‐Aty, Mingyun Gao, Jaeyoung Lee, Siqi Xie and Yuan Chen. Their work appears in journals such as Accident Analysis & Prevention, PLoS ONE, IET Intelligent Transport Systems, Advanced Synthesis & Catalysis and Journal of Urban Planning and Development.

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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