Yufei Ren

478 citations
34 papers · 325 · h-index 12

Impact in

Papers in

Yufei Ren

32 papers receiving 318 citations

Peers

Yufei Ren
Comparison fields: 5 of 86
  • Hardware and Architecture 74
  • Computer Networks and Communications 137
  • Information Systems 76
  • Artificial Intelligence 45
  • Family Practice 3
Replace Chandan Giri with:
Chandan Giri India
Yunru Zhang China
Md. Humayun Kabir Bangladesh
Kennedy Chinedu Okafor Nigeria
Shida Zhong China
Wan Tang China
Riccardo Crepaldi United States
Yufei Ren relative to Chandan Giri India Chandan Giri's profile →
Citations per field
00.5×4.8×
Chandan Giri · 1×
Citations per year

Countries citing papers authored by Yufei Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yufei Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201639
2 201625
3 201623
4 202321
5 202219
6 201317
7 202316
8 202216
9 201314
10 202113
11 201713
12 201213
13 201711
14 202210
15 20169
16 20208
17 20147
18 20176
19 20126
20 20225

About Yufei Ren

Yufei Ren is a scholar working on Hardware and Architecture, Computer Networks and Communications, Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 34 papers that have together received 325 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Advanced Data Storage Technologies (10 papers), Distributed and Parallel Computing Systems (7 papers), Advanced Neural Network Applications (4 papers), COVID-19 diagnosis using AI (3 papers), Stochastic Gradient Optimization Techniques (2 papers), Cloud Computing and Resource Management (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Hardware and Architecture (74 citations), Computer Networks and Communications (137 citations), Information Systems (76 citations), Artificial Intelligence (45 citations) and Family Practice (3 citations). Yufei Ren has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dantong Yu, Shudong Jin, Tan Li, Thomas G. Robertazzi, Yandong Wang, Xingbo Wu, Li Zhang, Yurui Zhang, Xuejiao Qi and Pengxing He. Their work appears in journals such as Frontiers in Psychiatry, IEEE Transactions on Parallel and Distributed Systems, Animals, Scientific Reports and Cell Death and Disease.

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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