Jingyue Wu

533 citations
15 papers · 346 indexed · h-index 10
Topics
Parallel Computing and Optimization Techniques (9 papers)Software Testing and Debugging Techniques (5 papers)Distributed systems and fault tolerance (4 papers)
Partner nations
United StatesChinaIndia

In The Last Decade

Jingyue Wu

15 papers receiving 336 citations

Peers

Jingyue Wu
Comparison fields: 5 of 29
  • Hardware and Architecture 213
  • Computer Networks and Communications 204
  • Software 112
  • Information Systems 106
  • Artificial Intelligence 65
Replace Cosmin Radoi with:
Cosmin Radoi United States
Milenko Drinić United States
Mircea Namolaru Israel
Manuel Rigger Singapore
Michiel Ronsse Belgium
V. Krishna Nandivada India
Bilha Mendelson Israel
Koenraad De Bosschere Belgium
Brendon Cahoon United States
Gautam Altekar United States
Jingyue Wu relative to Cosmin Radoi United States Cosmin Radoi's profile →
Citations per field
00.5×1.5×2.4×
Cosmin Radoi · 1×
Citations per year

Countries citing papers authored by Jingyue Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jingyue Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyue Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyue Wu. A scholar is included among the top collaborators of Jingyue Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingyue Wu. Jingyue Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 1
3 43
4 19
5 6
6 9
7 41
8 2
9 10
10 3
11 21
12
Optimizing data partitioning for data-parallel computing
23
13 63
14 38
15 66

About Jingyue Wu

Jingyue Wu is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 15 papers that have together received 346 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Software Testing and Debugging Techniques (5 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Hardware and Architecture (213 citations), Software (112 citations) and Computer Networks and Communications (204 citations). Jingyue Wu has collaborated with scholars based in United States, China and India. Frequent co-authors include Heming Cui, Junfeng Yang, Gang Hu, Junfeng Yang, Chia-Che Tsai, John P. Gallagher, Yang Tang, Jacques A. Pienaar, Qifa Ke and Yinglian Xie. Their work appears in journals such as Communications of the ACM, ACM SIGPLAN Notices and Minerals.

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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