Gang Hao

2.3k total citations
65 papers, 1.8k citations indexed

About

Gang Hao is a scholar working on Management Science and Operations Research, Economics and Econometrics and Management Information Systems. According to data from OpenAlex, Gang Hao has authored 65 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 19 papers in Economics and Econometrics and 10 papers in Management Information Systems. Recurrent topics in Gang Hao's work include Efficiency Analysis Using DEA (17 papers), Energy, Environment, Economic Growth (12 papers) and Supply Chain and Inventory Management (9 papers). Gang Hao is often cited by papers focused on Efficiency Analysis Using DEA (17 papers), Energy, Environment, Economic Growth (12 papers) and Supply Chain and Inventory Management (9 papers). Gang Hao collaborates with scholars based in China, Hong Kong and United States. Gang Hao's co-authors include Hong Yan, Xu Chen, Rizwana Yasmeen, Wasi Ul Hassan Shah, Jian Ma, Wei Xu, Shouyang Wang, Quanling Wei, Ling Li and Chengyi Xia and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and European Journal of Operational Research.

In The Last Decade

Gang Hao

62 papers receiving 1.7k citations

Peers

Gang Hao
Comparison fields: 5 of 113
  • Management Science and Operations Research 645
  • Economics and Econometrics 528
  • Strategy and Management 364
  • Management Information Systems 309
  • Renewable Energy, Sustainability and the Environment 229
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Ester Gutiérrez Spain
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Citations per field, relative to Gang Hao
Gang Hao · 1×
Citations per year, relative to Gang Hao
Gang Hao · 1×

Countries citing papers authored by Gang Hao

Since Specialization
Citations

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

Fields of papers citing papers by Gang Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Hao. A scholar is included among the top collaborators of Gang Hao 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 Gang Hao. Gang Hao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 25
3 19
4 7
5 9
6 3
7 11
8 22
9 25
10 2
11 27
12
基于MapReduce的Skyline查询处理算法 (MapReduce-based Skyline Query Processing Algorithm).
1
13 4
14
Study on Prediction of Urbanization Level Based on GA-BP Neural Network——Taking Tianjin of China as the Case
3
15
Operation and coordination of supply chain under delay in payment with a loss-averse retailer
1
16 20
17 212
18 65
19 13
20 1

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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