Sha Yang

47 papers receiving 845 citations

Hit Papers

Electronic descriptors for designing high-entropy alloy electrocatalysts by leveraging local chemical environments 2025 · 31 citations
3120232026202420254080120

Peers

Sha Yang
Comparison fields: 5 of 91
  • Surfaces, Coatings and Films 113
  • Biotechnology 102
  • Materials Chemistry 286
  • Analytical Chemistry 54
  • Pharmacology 84
Replace Ce Wang with:
Ce Wang China
Xiaomin Yang China
Mariano Grasselli Argentina
Dipak K. Sarker United Kingdom
Zhiyong Sun China
Ilya N. Kurochkin Russia
Yu-Ting Huang China
Rong An China
Donato Luna-Moreno Mexico
Luben N. Arnaudov Netherlands
Sha Yang relative to Ce Wang China Ce Wang's profile →
Citations per field
00.5×4.4×
Ce Wang · 1×
Citations per year

Countries citing papers authored by Sha Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sha Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ultra-durable superhydrophobic cellular coatings
Hit paper breakdown →
2023137
2 201675
3 200956
4 201951
5 201949
6 201743
7 201039
8 202039
9 202134
10
Electronic descriptors for designing high-entropy alloy electrocatalysts by leveraging local chemical environments
Hit paper breakdown →
202531
11 201630
12 201027
13 201622
14 202221
15 201518
16 202016
17 201716
18 201815
19 201614
20 201914

About Sha Yang

Sha Yang is a scholar working on Inorganic Chemistry, Reproductive Medicine, Organic Chemistry, Pharmacology and Materials Chemistry, having authored 51 papers that have together received 856 indexed citations. Recurring topics across this work include Molecular Junctions and Nanostructures (13 papers), Crystal structures of chemical compounds (11 papers), Graphene research and applications (7 papers), Surface Chemistry and Catalysis (7 papers), Synthesis and biological activity (7 papers), Advanced Memory and Neural Computing (5 papers), Sperm and Testicular Function (4 papers) and Reproductive Biology and Fertility (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (113 citations), Biotechnology (102 citations), Materials Chemistry (286 citations), Analytical Chemistry (54 citations) and Pharmacology (84 citations). Sha Yang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Wei Liu, Shuang Li, Ji‐Chang Ren, Guirong Su, Fusheng Chen, Yanchun Shao, Christopher J. Butch, S. Filimonov, Ying Zhao and Wei Liu. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry C, Nature Communications, The Journal of Physical Chemistry Letters and Reproduction in Domestic Animals.

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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