Jian-Ya Ding

1.2k citations
22 papers · 884 indexed · h-index 12

Impact in

Papers in

Jian-Ya Ding

20 papers receiving 867 citations

Peers

Jian-Ya Ding
Comparison fields: 5 of 51
  • Industrial and Manufacturing Engineering 620
  • Marketing 103
  • Automotive Engineering 125
  • Management Information Systems 64
  • Management Science and Operations Research 80
Replace Safia Kedad‐Sidhoum with:
Safia Kedad‐Sidhoum France
Ek Peng Chew Singapore
Mostafa Setak Iran
Imma Ribas Spain
M. Mathirajan India
In‐Jae Jeong South Korea
Gregory A. Godfrey United States
Ravi Shankar Kumar India
Christophe Rapine France
Günther Zäpfel Austria
Jian-Ya Ding relative to Safia Kedad‐Sidhoum France Safia Kedad‐Sidhoum's profile →
Citations per field
00.5×2.8×
Safia Kedad‐Sidhoum · 1×
Citations per year

Countries citing papers authored by Jian-Ya Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jian-Ya Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian-Ya Ding. 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 Jian-Ya Ding. The network helps show where Jian-Ya Ding may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20221
3 20210
4 202040
5
Optimal Solution Predictions for Mixed Integer Programs
20193
6 201934
7 201829
8 20183
9 201837
10 20173
11 201660
12 201620
13 2015155
14 201510
15 2015107
16 2015204
17 201527
18 20146
19 201430
20 20141

About Jian-Ya Ding

Jian-Ya Ding is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research, Management Information Systems, Computer Networks and Communications and Marketing, having authored 22 papers that have together received 884 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (11 papers), Advanced Manufacturing and Logistics Optimization (9 papers), Vehicle Routing Optimization Methods (5 papers), Assembly Line Balancing Optimization (3 papers), Risk and Portfolio Optimization (3 papers), Optimization and Search Problems (2 papers), Smart Grid Energy Management (2 papers) and Transportation and Mobility Innovations (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (620 citations), Marketing (103 citations), Automotive Engineering (125 citations), Management Information Systems (64 citations) and Management Science and Operations Research (80 citations). Jian-Ya Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Cheng Wu, Shiji Song, Rui Zhang, Raymond Chiong, Saif Benjaafar, Terry A. Taylor, Guangwen Kong, Shiji Song, Jatinder N.D. Gupta and Yuli Zhang. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Research, IEEE Transactions on Automation Science and Engineering, Electric Power Systems Research and Manufacturing & Service Operations Management.

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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