Kaike Zhang

409 citations
20 papers · 276 · h-index 11

Impact in

Papers in

Kaike Zhang

20 papers receiving 272 citations

Peers

Kaike Zhang
Comparison fields: 5 of 48
  • Industrial and Manufacturing Engineering 145
  • Organizational Behavior and Human Resource Management 50
  • Management Information Systems 38
  • Strategy and Management 43
  • Computer Graphics and Computer-Aided Design 9
Replace Kyungsik Lee with:
Kyungsik Lee South Korea
Kenneth L. Stott United States
Joaquim Gromicho Netherlands
Olivier Briant France
Arrigo Zanette Italy
Rachid Benmansour France
Merve Bodur Canada
Claudio Arbib Italy
Rita Vachani United States
Alexander Shulman United States
Kaike Zhang relative to Kyungsik Lee South Korea Kyungsik Lee's profile →
Citations per field
00.5×1.5×2.3×
Kyungsik Lee · 1×
Citations per year

Countries citing papers authored by Kaike Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Kaike Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Kaike Zhang, 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 Kaike Zhang Line = papers co-authored together Kaike Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201756
2 201832
3 201926
4 201524
5 202122
6 201422
7 202317
8 201914
9
A genetic algorithm for the three-dimensional bin packing problem with heterogeneous bins
201413
10 201312
11 202011
12 20219
13 20247
14 20243
15 20203
16 20251
17 20251
18 20251
19 20201
20 20251

About Kaike Zhang

Kaike Zhang is a scholar working on Industrial and Manufacturing Engineering, Information Systems, Organizational Behavior and Human Resource Management, Artificial Intelligence and Strategy and Management, having authored 20 papers that have together received 276 indexed citations. Recurring topics across this work include Facility Location and Emergency Management (6 papers), Recommender Systems and Techniques (6 papers), Vehicle Routing Optimization Methods (5 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Optimization and Packing Problems (4 papers), Supply Chain Resilience and Risk Management (3 papers), Sustainable Supply Chain Management (2 papers) and Ferroelectric and Piezoelectric Materials (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (145 citations), Organizational Behavior and Human Resource Management (50 citations), Management Information Systems (38 citations), Strategy and Management (43 citations) and Computer Graphics and Computer-Aided Design (9 citations). Kaike Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xueping Li, Ting Wu, Jia Shu, Miao Song, Huawei Shen, Qi Cao, Xueqi Cheng, Ni Du, Shengchao Zhou and Mingzhou Jin. Their work appears in journals such as INFORMS journal on computing, Computers & Industrial Engineering, International Journal of Production Economics, ACM Computing Surveys and The International Journal of Acoustics and Vibration.

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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