Chen Ya

3.4k citations
150 papers · 2.6k · h-index 29

Impact in

Papers in

Chen Ya

134 papers receiving 2.6k citations

Peers

Chen Ya
Comparison fields: 5 of 164
  • Management Science and Operations Research 662
  • Water Science and Technology 482
  • Renewable Energy, Sustainability and the Environment 466
  • Economics and Econometrics 684
  • Environmental Engineering 345
Replace Weidong Chen with:
Weidong Chen China
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Laureano Jiménez Spain
Guozhu Mao China
Da Liu China
Wei Cai China
Xiaoping Jia China
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Chen Ya relative to Weidong Chen China Weidong Chen's profile →
Citations per field
00.5×2×3×3.9×
Weidong Chen · 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 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018150
2 2018109
3 2012107
4 1999101
5 201392
6 202387
7 202086
8 201876
9 201776
10 202075
11 202075
12 201273
13 201467
14 202163
15 202160
16 201855
17 201553
18 201553
19 202049
20 201747

About Chen Ya

Chen Ya is a scholar working on Management Science and Operations Research, Economics and Econometrics, Environmental Engineering, Pollution and Food Science, having authored 150 papers that have together received 2.6k indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (31 papers), Energy, Environment, Economic Growth (12 papers), Environmental Impact and Sustainability (11 papers), Economic and Environmental Valuation (9 papers), Advanced oxidation water treatment (7 papers), Optimization and Mathematical Programming (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers) and Phytochemicals and Antioxidant Activities (4 papers). The work is most often cited by research in Management Science and Operations Research (662 citations), Water Science and Technology (482 citations), Renewable Energy, Sustainability and the Environment (466 citations), Economics and Econometrics (684 citations) and Environmental Engineering (345 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, Jing Deng, Mengyuan Xu, Qian Zhou, Ke Wang, Jinshao Ye and Huase Ou. Their work appears in journals such as Annals of Operations Research, Sustainability, Chemical Engineering Journal, Foods and European Journal of Operational 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.

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