Long Wang

1.0k citations
70 papers · 760 · 1 hit paper · h-index 15

Impact in

Papers in

Long Wang

61 papers receiving 748 citations

Long Wang's Hit Papers

Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety 2025 · 29 citations
290Years since publication510152025

Peers

Long Wang
Comparison fields: 5 of 80
  • Safety, Risk, Reliability and Quality 166
  • Civil and Structural Engineering 279
  • Management, Monitoring, Policy and Law 111
  • Aerospace Engineering 201
  • Environmental Engineering 82
Replace Hongshuang Li with:
Hongshuang Li China
Jianfeng Mao China
Rahul Biswas India
Tae‐Hyung Lee South Korea
Tong Guo China
Yanwen Xu United States
Thomas Benz Germany
L. Le-Anh Vietnam
Dietrich Hartmann Germany
Mohammad Sadeghi Iran
Long Wang relative to Hongshuang Li China Hongshuang Li's profile →
Citations per field
00.5×7.4×
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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201194
2 201651
3 201649
4 202047
5 201941
6 201140
7 201835
8 201932
9
Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety
Hit paper breakdown →
202529
10 201824
11 201122
12 201521
13 201917
14 202416
15 201915
16 202012
17 202412
18 202412
19 202412
20 201912

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 70 papers that have together received 760 indexed citations. Recurring topics across this work include Wind Energy Research and Development (17 papers), Wind and Air Flow Studies (8 papers), Aerodynamics and Fluid Dynamics Research (7 papers), Geotechnical Engineering and Analysis (7 papers), Geotechnical Engineering and Soil Stabilization (6 papers), Plant biochemistry and biosynthesis (6 papers), Fluid Dynamics and Vibration Analysis (6 papers) and Landslides and related hazards (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (166 citations), Civil and Structural Engineering (279 citations), Management, Monitoring, Policy and Law (111 citations), Aerospace Engineering (201 citations) and Environmental Engineering (82 citations). Long Wang has collaborated with scholars based in China, United Kingdom and South Sudan. Frequent co-authors include Tongguang Wang, De’an Sun, Lin Li, Bo Wu, Guoping Chen, Yangping Yao, Wei Hu, Yongfu Xu, Lizhou Wu and Bo Chen. Their work appears in journals such as Applied Sciences, Renewable Energy, Energies, Energy and Frontiers in Energy Research.

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.

Explore authors with similar magnitude of impact