Junwei Cheng

1.3k citations
59 papers · 806 · 1 hit paper · h-index 13

Impact in

Papers in

Junwei Cheng

50 papers receiving 729 citations

Junwei Cheng's Hit Papers

Photonic matrix multiplication lights up photonic accelerator and beyond 2022 · 321 citations
3210+1+2Years since publication100200300

Peers

Junwei Cheng
Comparison fields: 5 of 107
  • Artificial Intelligence 543
  • Acoustics and Ultrasonics 11
  • Electrical and Electronic Engineering 536
  • Statistical and Nonlinear Physics 56
  • Instrumentation 15
Replace D. Goulding with:
D. Goulding Ireland
Yang Leng China
Arvind Kumar India
Yi Xiong China
Yang Hong United Kingdom
Fuat Karakaya Türkiye
Haoyu Wei China
Y. Xiong China
Jian Hong Ke China
Junwei Cheng relative to D. Goulding Ireland D. Goulding's profile →
Citations per field
00.5×10×15×20×22.9×
D. Goulding · 1×
Citations per year

Countries citing papers authored by Junwei Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Photonic matrix multiplication lights up photonic accelerator and beyond
Hit paper breakdown →
2022321
2 201975
3 202147
4 202239
5 202234
6 202328
7 202224
8 202223
9 202418
10 202317
11 200615
12 202314
13 202314
14 202012
15 202311
16 202210
17 20249
18 20247
19 20217
20 20236

About Junwei Cheng

Junwei Cheng is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Pollution and Control and Systems Engineering, having authored 59 papers that have together received 806 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (18 papers), Photonic and Optical Devices (16 papers), Optical Network Technologies (15 papers), Complex Network Analysis Techniques (11 papers), Advanced Graph Neural Networks (10 papers), Heavy metals in environment (8 papers), Text and Document Classification Technologies (4 papers) and Mercury impact and mitigation studies (3 papers). The work is most often cited by research in Artificial Intelligence (543 citations), Acoustics and Ultrasonics (11 citations), Electrical and Electronic Engineering (536 citations), Statistical and Nonlinear Physics (56 citations) and Instrumentation (15 citations). Junwei Cheng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jianji Dong, Hailong Zhou, Xinliang Zhang, Wenchan Dong, Yichen Shen, Chaoran Huang, Qiming Zhang, Chao Qian, Miṅ Gu and Zhichao Ruan. Their work appears in journals such as ACS Photonics, Photonics Research, Nanophotonics, Environmental Science and Pollution Research and Information Sciences.

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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