Jianjun Wu

6.9k citations
218 papers · 5.2k · h-index 38

Impact in

Papers in

    • Transportation Planning and Optimization 151
    • Urban Transport and Accessibility 46
    • Human Mobility and Location-Based Analysis 34
    • Traffic Prediction and Management Techniques 26

Jianjun Wu

208 papers receiving 5.0k citations

Peers

Jianjun Wu
Comparison fields: 5 of 127
  • Transportation 3.6k
  • Industrial and Manufacturing Engineering 1.7k
  • Building and Construction 1.5k
  • Automotive Engineering 1.3k
  • Control and Systems Engineering 825
Replace Paul Schonfeld with:
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Zhiyuan Liu China
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Jianjun Wu relative to Paul Schonfeld United States Paul Schonfeld's profile →
Citations per field
00.5×1.5×2.5×
Paul Schonfeld · 1×
Citations per year

Countries citing papers authored by Jianjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jianjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004228
2 2007162
3 2014154
4 2014137
5 2016127
6 2014119
7 2019111
8 201896
9 201888
10 202082
11 201779
12 202178
13 202077
14 201672
15 201770
16 201666
17 201363
18 202362
19 202062
20 201961

About Jianjun Wu

Jianjun Wu is a scholar working on Transportation, Building and Construction, Industrial and Manufacturing Engineering, Automotive Engineering and Control and Systems Engineering, having authored 218 papers that have together received 5.2k indexed citations. Recurring topics across this work include Transportation Planning and Optimization (151 papers), Transportation and Mobility Innovations (57 papers), Railway Systems and Energy Efficiency (53 papers), Urban Transport and Accessibility (46 papers), Human Mobility and Location-Based Analysis (34 papers), Traffic control and management (31 papers), Traffic Prediction and Management Techniques (26 papers) and Railway Engineering and Dynamics (23 papers). The work is most often cited by research in Transportation (3.6k citations), Industrial and Manufacturing Engineering (1.7k citations), Building and Construction (1.5k citations), Automotive Engineering (1.3k citations) and Control and Systems Engineering (825 citations). Jianjun Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Huijun Sun, Ziyou Gao, Xin Yang, Liujiang Kang, Yunchao Qu, Haodong Yin, Tongfei Li, Xiaoning Zhu, Xin Guo and David Z.W. Wang. Their work appears in journals such as Transportation Research Part C Emerging Technologies, Transportation Research Part E Logistics and Transportation Review, Physica A Statistical Mechanics and its Applications, Transportation Research Part A Policy and Practice and Transportation Research Part B Methodological.

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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