Lipeng Wan

919 citations
36 papers · 348 indexed · h-index 11

Impact in

Papers in

Lipeng Wan

31 papers receiving 341 citations

Peers

Lipeng Wan
Comparison fields: 5 of 55
  • Hardware and Architecture 120
  • Computer Networks and Communications 148
  • Computer Vision and Pattern Recognition 97
  • Information Systems and Management 30
  • Artificial Intelligence 107
Replace Jon C. Calhoun with:
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Lipeng Wan relative to Jon C. Calhoun United States Jon C. Calhoun's profile →
Citations per field
00.5×2.7×
Jon C. Calhoun · 1×
Citations per year

Countries citing papers authored by Lipeng Wan

Since Specialization
Citations

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

Fields of papers citing papers by Lipeng Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20230
5 202318
6 20231
7 20230
8 20221
9 20222
10 202117
11 202116
12 202116
13 202141
14 20205
15
RPRG: Toward Real-time Robotic Perception, Reasoning and Grasping with One Multi-task Convolutional Neural Network.
20182
16 20171
17 201711
18 201612
19 20156
20 20141

About Lipeng Wan

Lipeng Wan is a scholar working on Hardware and Architecture, Information Systems and Management, Computer Networks and Communications, Transportation and Computer Graphics and Computer-Aided Design, having authored 36 papers that have together received 348 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (24 papers), Distributed and Parallel Computing Systems (11 papers), Parallel Computing and Optimization Techniques (9 papers), Scientific Computing and Data Management (9 papers), Distributed systems and fault tolerance (4 papers), Algorithms and Data Compression (4 papers), Caching and Content Delivery (3 papers) and Human Mobility and Location-Based Analysis (3 papers). The work is most often cited by research in Hardware and Architecture (120 citations), Computer Networks and Communications (148 citations), Computer Vision and Pattern Recognition (97 citations), Information Systems and Management (30 citations) and Artificial Intelligence (107 citations). Lipeng Wan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jieyang Chen, Ji Li, Scott Klasky, Haowen Fang, Mimi Xie, Santosh Pandey, Caiwen Ding, Bingbing Li, Matthew Wolf and Xin Liang. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Ad Hoc Networks, The International Journal of High Performance Computing Applications, Journal of Parallel and Distributed Computing and IACR Transactions on Cryptographic Hardware and Embedded Systems.

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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