Long Wang

957 citations
67 papers · 708 · 1 hit paper · h-index 14

Impact in

Papers in

Long Wang

60 papers receiving 690 citations

Hit Papers

Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety 2025 · 18 citations
180Years since publication51015

Peers

Long Wang
Comparison fields: 5 of 78
  • Safety, Risk, Reliability and Quality 162
  • Civil and Structural Engineering 275
  • Management, Monitoring, Policy and Law 110
  • Aerospace Engineering 196
  • Environmental Engineering 80
Replace Hongshuang Li with:
Hongshuang Li China
Ahmad Jafari Iran
Jianfeng Mao China
Rahul Biswas India
Konstantinos Nikas Greece
Tae‐Hyung Lee South Korea
Tetsuro Ono Japan
G. Sandberg Sweden
L. Le-Anh Vietnam
Tong Guo China
Long Wang relative to Hongshuang Li China Hongshuang Li's profile →
Citations per field
00.5×7.3×
Hongshuang Li · 1×
Citations per year

Countries citing papers authored by Long Wang

Since Specialization
Citations

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

Fields of papers citing papers by Long Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201194
2 201651
3 201648
4 202045
5 201941
6 201138
7 201834
8 201930
9 201824
10 201122
11 201521
12
Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety
Hit paper breakdown →
202518
13 201916
14 201915
15 202413
16 201912
17 202411
18 202011
19 202411
20 20198

About Long Wang

Long Wang is a scholar working on Aerospace Engineering, Civil and Structural Engineering, Computational Mechanics, Electrical and Electronic Engineering and Mechanics of Materials, having authored 67 papers that have together received 708 indexed citations. Recurring topics across this work include Wind Energy Research and Development (16 papers), Wind and Air Flow Studies (8 papers), Geotechnical Engineering and Analysis (7 papers), Aerodynamics and Fluid Dynamics Research (7 papers), Geotechnical Engineering and Soil Stabilization (6 papers), Plant biochemistry and biosynthesis (6 papers), Fluid Dynamics and Vibration Analysis (6 papers) and Sensorless Control of Electric Motors (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (162 citations), Civil and Structural Engineering (275 citations), Management, Monitoring, Policy and Law (110 citations), Aerospace Engineering (196 citations) and Environmental Engineering (80 citations). Long Wang has collaborated with scholars based in China, United Kingdom and South Korea. Frequent co-authors include Tongguang Wang, De’an Sun, Lin Li, Bo Wu, Xinyu Zhao, Guoping Chen, Yangping Yao, Wei Hu, Lizhou Wu and Yongfu Xu. Their work appears in journals such as Applied Sciences, Energy, Journal of Agricultural and Food Chemistry, Renewable Energy and Computers and Geotechnics.

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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