Deshi Ye

1.0k citations
65 papers · 481 · h-index 12

Impact in

Papers in

Deshi Ye

61 papers receiving 457 citations

Peers

Deshi Ye
Comparison fields: 5 of 53
  • Industrial and Manufacturing Engineering 204
  • Computer Networks and Communications 306
  • Computer Graphics and Computer-Aided Design 21
  • Information Systems 134
  • Management Science and Operations Research 58
Replace Ricardo C. Corrêa with:
Ricardo C. Corrêa Brazil
Ari Freund Israel
Evripidis Bampis France
MohammadHossein Bateni United States
Zoya Svitkina United States
Rob van Stee Germany
Yuri Frota Brazil
Amir Epstein Israel
Paolo Penna Italy
Nei Yoshihiro Soma Brazil
Deshi Ye relative to Ricardo C. Corrêa Brazil Ricardo C. Corrêa's profile →
Citations per field
00.5×5.7×
Ricardo C. Corrêa · 1×
Citations per year

Countries citing papers authored by Deshi Ye

Since Specialization
Citations

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

Fields of papers citing papers by Deshi Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201330
2 201127
3 201426
4 200825
5 201322
6 201218
7 201918
8 200615
9 200914
10 201014
11 200714
12 201813
13 200611
14 201411
15 200211
16 200911
17 200711
18 201110
19 20169
20 20069

About Deshi Ye

Deshi Ye is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Information Systems and Management Science and Operations Research, having authored 65 papers that have together received 481 indexed citations. Recurring topics across this work include Optimization and Search Problems (36 papers), Scheduling and Optimization Algorithms (20 papers), Optimization and Packing Problems (18 papers), Advanced Manufacturing and Logistics Optimization (12 papers), Cloud Computing and Resource Management (9 papers), Auction Theory and Applications (7 papers), Distributed and Parallel Computing Systems (7 papers) and Advanced Wireless Network Optimization (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (204 citations), Computer Networks and Communications (306 citations), Computer Graphics and Computer-Aided Design (21 citations), Information Systems (134 citations) and Management Science and Operations Research (58 citations). Deshi Ye has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Guochuan Zhang, Jianhai Chen, Xin Han, Lin Chen, Qinming He, Dawei Huang, Kejiang Ye, Yunqiang Yin, Francis Y. L. Chin and Joseph Chan. Their work appears in journals such as Journal of Combinatorial Optimization, Theoretical Computer Science, Operations Research Letters, Journal of Scheduling and ACM SIGMETRICS Performance Evaluation Review.

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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