Libing Wang

1.2k citations
26 papers · 916 · 1 hit paper · h-index 15

Impact in

Papers in

Libing Wang

26 papers receiving 890 citations

Libing Wang's Hit Papers

Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning 2021 · 200 citations
2000+1+3Years since publication50100150200

Peers

Libing Wang
Comparison fields: 5 of 85
  • Industrial and Manufacturing Engineering 178
  • Geochemistry and Petrology 78
  • Ocean Engineering 153
  • Environmental Engineering 131
  • Surfaces, Coatings and Films 46
Replace Dong Su with:
Dong Su China
Wang
Ming hua Li China
Bing Liang China
Huang United States
Youhei Kawamura Japan
Xiao Dong Zhao China
Tao Bai China
Jinsheng Wang China
Xun Wang China
Libing Wang relative to Dong Su China Dong Su's profile →
Citations per field
00.5×2×4×6×8×9.2×
Dong Su · 1×
Citations per year

Countries citing papers authored by Libing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Libing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996234
2
Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning
Hit paper breakdown →
2021200
3 201762
4 201961
5 201959
6 201452
7 202237
8 202132
9 201430
10 202229
11 202022
12 201915
13 202115
14 201715
15 201815
16 20207
17 20146
18 20196
19 20164
20 20204

About Libing Wang

Libing Wang is a scholar working on Waste Management and Disposal, Electronic, Optical and Magnetic Materials, Ocean Engineering, Computer Networks and Communications and Aerospace Engineering, having authored 26 papers that have together received 916 indexed citations. Recurring topics across this work include Water Quality Monitoring and Analysis (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Water Systems and Optimization (3 papers), Safety and Risk Management (2 papers), Water resources management and optimization (2 papers), Advanced DC-DC Converters (2 papers), Wireless Communication Networks Research (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (178 citations), Geochemistry and Petrology (78 citations), Ocean Engineering (153 citations), Environmental Engineering (131 citations) and Surfaces, Coatings and Films (46 citations). Libing Wang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Clayton Vernon Deutsch, Weidong Wang, Xin Hu, Zhijun Liu, Shijun Ma, Yin Wang, Kexin Bella Yang, Dan Wang, Chengxiong Mao and Zhihong Wang. Their work appears in journals such as Remote Sensing, Water, Journal of Environmental Management, Computers, materials & continua/Computers, materials & continua (Print) and AQUA - Water Infrastructure Ecosystems and Society.

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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