Yutong Lu

6.1k citations
227 papers · 3.5k indexed · 2 hit papers · h-index 31

Impact in

Papers in

Yutong Lu

203 papers receiving 3.4k citations

Hit Papers

LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking 2022 · 181 citations
1812021202620222024100200300400500

Peers

Yutong Lu
Comparison fields: 5 of 195
  • Hardware and Architecture 306
  • Computer Networks and Communications 537
  • Computational Theory and Mathematics 319
  • Information Systems 444
  • Computer Vision and Pattern Recognition 339
Replace Sanguthevar Rajasekaran with:
Sanguthevar Rajasekaran United States
Hong Wang China
Changcheng Li China
Ping Zhang China
Joachim Wegener Germany
Liang Liu China
Shaoliang Peng China
Pooja Yadav India
Ke Chen China
José Miguel Hernández-Lobato United Kingdom
Yutong Lu relative to Sanguthevar Rajasekaran United States Sanguthevar Rajasekaran's profile →
Citations per field
00.5×5.7×
Sanguthevar Rajasekaran · 1×
Citations per year

Countries citing papers authored by Yutong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yutong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 202420
4 20246
5 20240
6 20243
7 20231
8 20233
9 20230
10 20230
11 202331
12 202216
13 20213
14 202116
15 202121
16 202121
17 20206
18 202040
19 20199
20 201992

About Yutong Lu

Yutong Lu is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Computational Theory and Mathematics, having authored 227 papers that have together received 3.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (51 papers), Advanced Data Storage Technologies (50 papers), Distributed and Parallel Computing Systems (35 papers), Cloud Computing and Resource Management (28 papers), Caching and Content Delivery (18 papers), Advanced Neural Network Applications (17 papers), Interconnection Networks and Systems (16 papers) and Graph Theory and Algorithms (14 papers). The work is most often cited by research in Hardware and Architecture (306 citations), Computer Networks and Communications (537 citations), Computational Theory and Mathematics (319 citations), Information Systems (444 citations) and Computer Vision and Pattern Recognition (339 citations). Yutong Lu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhiguang Chen, Yuedong Yang, Nong Xiao, Xiangke Liao, Zibin Zheng, Weili Chen, Shuangjia Zheng, Yinjin Fu, Yupan Huang and Tengchao Lv. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Briefings in Bioinformatics, Nature Communications, IEEE Access and Journal of Chemical Information and Modeling.

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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