Qing He

7.0k citations
232 papers · 5.1k · 1 hit paper · h-index 39

Impact in

Papers in

Qing He

220 papers receiving 5.0k citations

Qing He's Hit Papers

A deep learning approach for detecting traffic accidents from social media data 2017 · 253 citations
2530+3+6Years since publication50100150200250

Peers

Qing He
Comparison fields: 5 of 156
  • Transportation 1.1k
  • Building and Construction 1.1k
  • Control and Systems Engineering 1.2k
  • Mechanical Engineering 1.7k
  • Industrial and Manufacturing Engineering 437
Replace Yong Qin with:
Yong Qin China
Luís Ferreira Portugal
Clive Roberts United Kingdom
Alfredo Núñez Netherlands
Xinping Yan China
Limin Jia China
Gabriël Lodewijks Netherlands
Bin Ning China
Guangdong Tian China
Chao Chen China
Qing He relative to Yong Qin China Yong Qin's profile →
Citations per field
00.5×1.5×
Yong Qin · 1×
Citations per year

Countries citing papers authored by Qing He

Since Specialization
Citations

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

Fields of papers citing papers by Qing He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A deep learning approach for detecting traffic accidents from social media data
Hit paper breakdown →
2017253
2 2011234
3 2019204
4 2014195
5 2016172
6 2016170
7 2014155
8 2019144
9 2019130
10 2018121
11 2018116
12 202169
13 201468
14 201965
15 201162
16 201861
17 202159
18 202158
19 202058
20 201658

About Qing He

Qing He is a scholar working on Mechanical Engineering, Control and Systems Engineering, Civil and Structural Engineering, Transportation and Building and Construction, having authored 232 papers that have together received 5.1k indexed citations. Recurring topics across this work include Railway Engineering and Dynamics (42 papers), Infrastructure Maintenance and Monitoring (33 papers), Transportation Planning and Optimization (31 papers), Traffic Prediction and Management Techniques (24 papers), Traffic control and management (19 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (19 papers), Human Mobility and Location-Based Analysis (19 papers) and Adsorption and Cooling Systems (15 papers). The work is most often cited by research in Transportation (1.1k citations), Building and Construction (1.1k citations), Control and Systems Engineering (1.2k citations), Mechanical Engineering (1.7k citations) and Industrial and Manufacturing Engineering (437 citations). Qing He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Larry Head, Jun Ding, Jing Gao, Zhenhua Zhang, Reza Karami Mohammadi, Dongmei Du, Rajan Batta, Wenyi Liu, Ming Ni and Ping Wang. Their work appears in journals such as Transportation Research Part C Emerging Technologies, IEEE Transactions on Intelligent Transportation Systems, Computer-Aided Civil and Infrastructure Engineering, Energy and Measurement.

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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