Ling Yang

930 citations
65 papers · 625 · h-index 15

Impact in

Papers in

Ling Yang

61 papers receiving 605 citations

Peers

Ling Yang
Comparison fields: 5 of 94
  • Cultural Studies 62
  • Management of Technology and Innovation 53
  • Gender Studies 66
  • Hardware and Architecture 39
  • Cellular and Molecular Neuroscience 104
Replace Alexander Buhmann with:
Alexander Buhmann Germany
Jieyu Zhao China
Michael Wilson United States
Tam Hong Kong
Kamal Gupta India
Neil Thompson United States
Jung-Woo Kim South Korea
Wenzhong Zhu China
Eva García‐López Spain
David G. Meyer United States
Ling Yang relative to Alexander Buhmann Germany Alexander Buhmann's profile →
Citations per field
00.5×10×13×
Alexander Buhmann · 1×
Citations per year

Countries citing papers authored by Ling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202049
2 202345
3 202343
4 202236
5 202236
6 201334
7 201931
8 202126
9 202125
10 201625
11 202124
12 202122
13 202019
14 202318
15 200916
16 202313
17 201511
18
Boys’ Love, Cosplay, and Androgynous Idols: Queer Fan Cultures in Mainland China, Hong Kong, and Taiwan
201711
19 202210
20 202210

About Ling Yang

Ling Yang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cellular and Molecular Neuroscience, Control and Systems Engineering and Computer Networks and Communications, having authored 65 papers that have together received 625 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Ferroelectric and Negative Capacitance Devices (15 papers), Asian Culture and Media Studies (5 papers), Neuroscience and Neural Engineering (4 papers), Advanced Algorithms and Applications (4 papers), Caching and Content Delivery (4 papers), Neural Networks and Applications (4 papers) and CCD and CMOS Imaging Sensors (4 papers). The work is most often cited by research in Cultural Studies (62 citations), Management of Technology and Innovation (53 citations), Gender Studies (66 citations), Hardware and Architecture (39 citations) and Cellular and Molecular Neuroscience (104 citations). Ling Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yi Li, Eric Yanfei Zhao, Xiangshui Miao, Jian Xu, Xiangshui Miao, Han Bao, Xiaowei Luo, Jiancong Li, Wenbin Zuo and Tianqing Wan. Their work appears in journals such as Advanced Electronic Materials, IEEE Transactions on Electron Devices, IEEE Electron Device Letters, Science Advances and Entrepreneurship Theory and Practice.

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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