Hua Ke

2.9k citations
90 papers · 2.4k indexed · h-index 28

Impact in

Papers in

Hua Ke

86 papers receiving 2.3k citations

Peers

Hua Ke
Comparison fields: 5 of 101
  • Management Information Systems 635
  • Management Science and Operations Research 754
  • Statistics and Probability 454
  • Strategy and Management 790
  • Marketing 404
Replace Jennifer K. Ryan with:
Jennifer K. Ryan United States
Yeu‐Shiang Huang Taiwan
Ali Akbar Shaikh India
Debora Di Caprio United States
Bintong Chen United States
Bo Feng China
Jindong Qin China
Mohammad Jafar Tarokh Iran
Manas Kumar Maiti India
Francisco Rodrigues Lima Brazil
Hua Ke relative to Jennifer K. Ryan United States Jennifer K. Ryan's profile →
Citations per field
00.5×1.5×2.2×
Jennifer K. Ryan · 1×
Citations per year

Countries citing papers authored by Hua Ke

Since Specialization
Citations

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

Fields of papers citing papers by Hua Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202358
4 20230
5 202219
6 20211
7 202071
8 202051
9 201916
10 201830
11 201810
12 201736
13 201729
14 201616
15 201514
16 201411
17 201411
18 201415
19 201216
20 200965

About Hua Ke

Hua Ke is a scholar working on Computational Mathematics, Management Information Systems, Management Science and Operations Research, Marketing and Statistics and Probability, having authored 90 papers that have together received 2.4k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (27 papers), Sustainable Supply Chain Management (24 papers), Multi-Criteria Decision Making (21 papers), Resource-Constrained Project Scheduling (19 papers), Fuzzy Systems and Optimization (18 papers), Consumer Market Behavior and Pricing (15 papers), Optimization and Mathematical Programming (11 papers) and Scheduling and Optimization Algorithms (8 papers). The work is most often cited by research in Management Information Systems (635 citations), Management Science and Operations Research (754 citations), Statistics and Probability (454 citations), Strategy and Management (790 citations) and Marketing (404 citations). Hua Ke has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Weimin Ma, Huang Hu, Baoding Liu, Jinjin Liu, Zhao Zhang, Guangdong Tian, Kai Yao, Yaodong Ni, Yuhong Sheng and Kenneth Showalter. Their work appears in journals such as Soft Computing, Fuzzy Optimization and Decision Making, Journal of Intelligent & Fuzzy Systems, Applied Mathematics and Computation and European Journal of Operational Research.

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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