Xin Sheng

53 papers receiving 965 citations

Peers

Xin Sheng
Comparison fields: 5 of 102
  • Inorganic Chemistry 206
  • Pharmacology 102
  • Control and Systems Engineering 181
  • Renewable Energy, Sustainability and the Environment 78
  • Materials Chemistry 221
Replace Xinglong Zhang with:
Xinglong Zhang China
Eric von Lieres Germany
Ján Veselý Czechia
Xiaohua Zhang United States
Daniel Probst Switzerland
Yan Zhou China
Takeshi Oishi Japan
Kazuhiko Tanaka Japan
Shan Chen China
Ning Xi United States
Xin Sheng relative to Xinglong Zhang China Xinglong Zhang's profile →
Citations per field
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Xinglong Zhang · 1×
Citations per year

Countries citing papers authored by Xin Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Xin Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019124
2 202284
3 202372
4 200970
5 202356
6 200855
7 200954
8 202243
9 202337
10 201231
11 200929
12 201828
13 201228
14 202028
15 200921
16 200920
17 201120
18 202119
19 202119
20 202315

About Xin Sheng

Xin Sheng is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Materials Chemistry, Mechanical Engineering and Aerospace Engineering, having authored 57 papers that have together received 972 indexed citations. Recurring topics across this work include Metal-Catalyzed Oxygenation Mechanisms (8 papers), Perovskite Materials and Applications (6 papers), Nuclear reactor physics and engineering (6 papers), Photosynthetic Processes and Mechanisms (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Machine Fault Diagnosis Techniques (4 papers), Quantum Dots Synthesis And Properties (4 papers) and Nuclear Materials and Properties (4 papers). The work is most often cited by research in Inorganic Chemistry (206 citations), Pharmacology (102 citations), Control and Systems Engineering (181 citations), Renewable Energy, Sustainability and the Environment (78 citations) and Materials Chemistry (221 citations). Xin Sheng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Martin Newcomb, John H. Horner, Qin Wang, Ke Feng, Xiaoan Yan, Beibei Sun, Yadong Xu, Zhenfeng Liu, Zheng Liu and Eunchul Kim. Their work appears in journals such as Journal of the American Chemical Society, Annals of Nuclear Energy, International Journal of Biological Macromolecules, Reliability Engineering & System Safety and International Communications in Heat and Mass Transfer.

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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