Chunlu Wang

43 papers receiving 424 citations

Peers

Chunlu Wang
Comparison fields: 5 of 64
  • Health, Toxicology and Mutagenesis 117
  • Environmental Engineering 121
  • Transportation 54
  • Industrial and Manufacturing Engineering 77
  • Building and Construction 97
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Weisong Hu China
Muhammad Nabeel Asghar Pakistan
Guangxi Yan China
K. Somasundaram India
Boris Pokrić Serbia
Lingling Lv China
Doreswamy India
Valerio Panzica La Manna Netherlands
Kuan-Ming Lin Taiwan
Hongbin Dai China
Chunlu Wang relative to Weisong Hu China Weisong Hu's profile →
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Citations per year

Countries citing papers authored by Chunlu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chunlu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202161
2 202040
3 202132
4 202230
5 202029
6 202025
7 202125
8 201117
9 202016
10 201516
11 201314
12 201912
13 202212
14 201111
15 200910
16 202210
17 20146
18 20166
19 20125
20 20145

About Chunlu Wang

Chunlu Wang is a scholar working on Artificial Intelligence, Building and Construction, Computer Networks and Communications, Signal Processing and Industrial and Manufacturing Engineering, having authored 49 papers that have together received 429 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (8 papers), Advanced Malware Detection Techniques (7 papers), Security and Verification in Computing (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (6 papers), Transportation and Mobility Innovations (5 papers), Urban Green Space and Health (4 papers), Advanced Manufacturing and Logistics Optimization (4 papers) and Vehicle Routing Optimization Methods (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (117 citations), Environmental Engineering (121 citations), Transportation (54 citations), Industrial and Manufacturing Engineering (77 citations) and Building and Construction (97 citations). Chunlu Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xingquan Zuo, Bin Cheng, Jingyi Li, Guo Wei, Yiyi Wang, Wei Guo, Xinyu Tang, Binxing Fang, Tianle Zhang and Xinchao Zhao. Their work appears in journals such as Atmospheric Pollution Research, Journal of Urban Management, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Digital Investigation and Environmental Pollution.

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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