Junying Wang

416 citations
17 papers · 326 · h-index 7

Impact in

Papers in

    • Evolutionary Algorithms and Applications 4
    • Metaheuristic Optimization Algorithms Research 4
    • Reinforcement Learning in Robotics 2
    • Viral Infectious Diseases and Gene Expression in Insects 2

Junying Wang

16 papers receiving 319 citations

Peers

Junying Wang
Comparison fields: 5 of 83
  • Water Science and Technology 126
  • Environmental Engineering 75
  • Geochemistry and Petrology 29
  • Health, Toxicology and Mutagenesis 57
  • Global and Planetary Change 86
Replace Zhengxian Zhang with:
Zhengxian Zhang China
Zhaoyu Zhu China
Ana Milanović Pešić Serbia
Xiaoyan Dai China
Md. Jahir Bin Alam Bangladesh
Sen Yu China
Maria Α. Lilli Greece
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Citations per year

Countries citing papers authored by Junying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2007209
2 201140
3 201119
4 202314
5 201212
6 201410
7 20236
8 20093
9 20153
10 20232
11 20242
12 20182
13 20211
14 20101
15 20181
16 20131
17
Computer Network Security and Protection
20110

About Junying Wang

Junying Wang is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Economics and Econometrics and Health, Toxicology and Mutagenesis, having authored 17 papers that have together received 326 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Reinforcement Learning in Robotics (2 papers), Energy, Environment, Economic Growth (2 papers), Air Quality and Health Impacts (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Data Management and Algorithms (1 paper) and Environmental Impact and Sustainability (1 paper). The work is most often cited by research in Water Science and Technology (126 citations), Environmental Engineering (75 citations), Geochemistry and Petrology (29 citations), Health, Toxicology and Mutagenesis (57 citations) and Global and Planetary Change (86 citations). Junying Wang has collaborated with scholars based in China, Hong Kong and Denmark. Frequent co-authors include Liangjun Da, Kun Song, Bai-Lian Li, Dehua Li, Cunjun Li, Wenjiang Huang, Xiaodong Yang, Jihua Wang, Xiaoyu Song and Guoliang Han. Their work appears in journals such as Environment International, Journal of Ambient Intelligence and Humanized Computing, Journal of Agricultural Economics, Knowledge-Based Systems and Soft Computing.

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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