Chen Ya

127 papers receiving 2.5k citations

Chen Ya's Hit Papers

Is artificial intelligence associated with carbon emissions reduction? Case of China 2023 · 107 citations
1070+1+2Years since publication255075100

Peers

Chen Ya
Comparison fields: 5 of 141
  • Management Science and Operations Research 770
  • Water Science and Technology 407
  • Pollution 190
  • Economics and Econometrics 317
  • Health, Toxicology and Mutagenesis 128
Replace Weiwei Zhu with:
Weiwei Zhu China
Pier Paolo Miglietta Italy
Rupesh Kumar India
Jara Laso Spain
Ramzy F. Kahhat Peru
Sadhan Kumar Ghosh India
Richard C. Darton United Kingdom
Konstantinos G. Aravossis Greece
May A. Massoud Lebanon
Feiyu Chen China
Chen Ya relative to Weiwei Zhu China Weiwei Zhu's profile →
Citations per field
00.5×5×12.3×
Weiwei Zhu · 1×
Citations per year

Countries citing papers authored by Chen Ya

Since Specialization
Citations

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

Fields of papers citing papers by Chen Ya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018156
2 2012108
3
Is artificial intelligence associated with carbon emissions reduction? Case of China
Hit paper breakdown →
2023107
4 201392
5 201488
6 202087
7 202079
8 201876
9 202076
10 201775
11 201272
12 201469
13 202167
14 202161
15 201857
16 201554
17 201552
18 202050
19 201747
20 202247

About Chen Ya

Chen Ya is a scholar working on Management Science and Operations Research, Water Science and Technology, Health, Toxicology and Mutagenesis, Food Science and Neurology, having authored 136 papers that have together received 2.5k indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (34 papers), Advanced oxidation water treatment (6 papers), Transcranial Magnetic Stimulation Studies (5 papers), Energy, Environment, Economic Growth (5 papers), Air Quality and Health Impacts (4 papers), Fermentation and Sensory Analysis (3 papers), Pesticide Residue Analysis and Safety (3 papers) and Environmental Impact and Sustainability (3 papers). The work is most often cited by research in Management Science and Operations Research (770 citations), Water Science and Technology (407 citations), Pollution (190 citations), Economics and Econometrics (317 citations) and Health, Toxicology and Mutagenesis (128 citations). Chen Ya has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Huaqing Wu, Liang Liang, Yongjun Li, Min Yang, Qian Zhou, Ke Wang, Joe Zhu, Huase Ou, Jinshao Ye and Tao Ding. Their work appears in journals such as Annals of Operations Research, European Journal of Operational Research, Foods, Chemical Engineering Journal and Journal of Cleaner Production.

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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