Yu Weng

1.1k citations
51 papers · 822 · 1 hit paper · h-index 10

Impact in

Papers in

Yu Weng

44 papers receiving 781 citations

Yu Weng's Hit Papers

NAS-Unet: Neural Architecture Search for Medical Image Segmentation 2019 · 356 citations
3560+2+4Years since publication100200300

Peers

Yu Weng
Comparison fields: 5 of 116
  • Computer Vision and Pattern Recognition 314
  • Media Technology 86
  • Artificial Intelligence 248
  • Neurology 49
  • Radiology, Nuclear Medicine and Imaging 116
Replace L. Padma Suresh with:
L. Padma Suresh India
Siyamalan Manivannan Sri Lanka
José Escorcia‐Gutierrez Colombia
Mohammed ElAffendi Saudi Arabia
Omar S. Al-Kadi Jordan
Margarita Gamarra Colombia
Junyang Chen China
Jwan Najeeb Saeed Iraq
Sara A. Althubiti Saudi Arabia
Qiao Ke China
Yu Weng relative to L. Padma Suresh India L. Padma Suresh's profile →
Citations per field
00.5×
L. Padma Suresh · 1×
Citations per year

Countries citing papers authored by Yu Weng

Since Specialization
Citations

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

Fields of papers citing papers by Yu Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yu Weng, 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 Yu Weng Line = papers co-authored together Yu Weng 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
NAS-Unet: Neural Architecture Search for Medical Image Segmentation
Hit paper breakdown →
2019356
2 201887
3 200472
4 201961
5 201940
6 202127
7 200827
8 202320
9 201915
10 201912
11 20219
12 19728
13 20108
14 20196
15 20245
16 20195
17 20095
18 20194
19 20214
20 20224

About Yu Weng

Yu Weng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 51 papers that have together received 822 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (12 papers), Topic Modeling (6 papers), Anomaly Detection Techniques and Applications (5 papers), Image Processing and 3D Reconstruction (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (5 papers), Complex Network Analysis Techniques (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (314 citations), Media Technology (86 citations), Artificial Intelligence (248 citations), Neurology (49 citations) and Radiology, Nuclear Medicine and Imaging (116 citations). Yu Weng has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Tianbao Zhou, Xiaoyu Qiu, Yujie Li, Chunlei Xia, Peng‐Jun Wan, Ophir Frieder, Xiang‐Yang Li, Wen‐Zhan Song, Lei Liu and Honghao Gao. Their work appears in journals such as IEEE Access, IEEE Transactions on Computational Social Systems, IEEE Transactions on Information Forensics and Security, International Journal of Technology Management and Signal Processing.

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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