Zheng Ya

86 total papers · 518 total citations
17 papers, 467 citations indexed

About

Zheng Ya is a scholar working on Mechanical Engineering, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Zheng Ya has authored 17 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanical Engineering, 3 papers in Statistical and Nonlinear Physics and 2 papers in Molecular Biology. Recurrent topics in Zheng Ya's work include Thermodynamic and Exergetic Analyses of Power and Cooling Systems (5 papers), Advanced Thermodynamic Systems and Engines (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). Zheng Ya is often cited by papers focused on Thermodynamic and Exergetic Analyses of Power and Cooling Systems (5 papers), Advanced Thermodynamic Systems and Engines (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). Zheng Ya collaborates with scholars based in China and Argentina. Zheng Ya's co-authors include Yiping Dai, Yue Cao, Saili Li, Xurong Wang, Yi Yang, Jiangfeng Wang, Yi Wu, Xiong Chen, Ying Wang and Changsheng Zhou and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and Energy.

In The Last Decade

Zheng Ya

15 papers receiving 460 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zheng Ya 426 197 79 50 40 17 467
Yuandan Wu 402 0.9× 198 1.0× 100 1.3× 107 2.1× 26 0.7× 11 475
Eunkoo Yun 400 0.9× 118 0.6× 129 1.6× 31 0.6× 36 0.9× 21 454
A.D. Akbari 418 1.0× 167 0.8× 72 0.9× 106 2.1× 21 0.5× 8 447
Osama M. Ibrahim 365 0.9× 271 1.4× 58 0.7× 27 0.5× 16 0.4× 19 426
Yasin Khan 429 1.0× 80 0.4× 82 1.0× 69 1.4× 32 0.8× 26 535
Gang Fan 462 1.1× 131 0.7× 79 1.0× 140 2.8× 34 0.8× 16 519
Carsten Trapp 336 0.8× 85 0.4× 55 0.7× 91 1.8× 44 1.1× 13 423
Masood Shamsaiee 358 0.8× 104 0.5× 125 1.6× 102 2.0× 29 0.7× 11 412
Kiari Goni Boulama 322 0.8× 112 0.6× 75 0.9× 99 2.0× 95 2.4× 23 501
Regano Benito 386 0.9× 142 0.7× 206 2.6× 159 3.2× 25 0.6× 13 474

Countries citing papers authored by Zheng Ya

Since Specialization
Citations

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

Fields of papers citing papers by Zheng Ya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Ya

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Ya. A scholar is included among the top collaborators of Zheng Ya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zheng Ya. Zheng Ya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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