Wei‐Chiang Hong

11.5k citations
165 papers · 8.7k indexed · 4 hit papers · h-index 52
Topics
Energy Load and Power Forecasting (89 papers)Grey System Theory Applications (44 papers)Stock Market Forecasting Methods (26 papers)
Partner nations
TaiwanChinaIndia

In The Last Decade

Wei‐Chiang Hong

158 papers receiving 8.4k citations

Hit Papers

Consensus models for AHP group decision making under row ...20102026201520202010201920222021100200300

Peers

Wei‐Chiang Hong
Comparison fields: 5 of 170
  • Electrical and Electronic Engineering 3.7k
  • Management Science and Operations Research 2.7k
  • Artificial Intelligence 2.1k
  • Control and Systems Engineering 1.2k
  • Building and Construction 1.1k
Replace Kin Keung Lai with:
Kin Keung Lai Hong Kong
Muhammet Deveci Türkiye
Amir F. Atiya Egypt
José Rui Figueira Portugal
Kwai‐Sang Chin Hong Kong
Lean Yu China
Ping‐Feng Pai Taiwan
Salvatore Greco Italy
Dipti Srinivasan Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Wei‐Chiang Hong

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Chiang Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Chiang Hong. 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 Wei‐Chiang Hong. The network helps show where Wei‐Chiang Hong may publish in the future.

Co-authorship network of co-authors of Wei‐Chiang Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Chiang Hong. A scholar is included among the top collaborators of Wei‐Chiang Hong 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 Wei‐Chiang Hong. Wei‐Chiang Hong 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
#WorkIndexed citations
1 3
2 0
3 3
4 17
5 0
6 10
7 6
8 6
9 2
10 8
11 20
12 13
13 4
14 26
15 26
16 5
17 5
18 3
19
Application of SVR with improved ant colony optimization algorithms in exchange rate forecasting
46
20
Competitiveness in the tourism sector : a comprehensive approach from economic and management points
38

About Wei‐Chiang Hong

Wei‐Chiang Hong is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Environmental Engineering, having authored 165 papers that have together received 8.7k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (89 papers), Grey System Theory Applications (44 papers) and Stock Market Forecasting Methods (26 papers). The work is most often cited by research in Management Science and Operations Research (2.7k citations), Transportation (566 citations) and Building and Construction (1.1k citations). Wei‐Chiang Hong has collaborated with scholars based in Taiwan, China and India. Frequent co-authors include Ping‐Feng Pai, Yucheng Dong, Guo‐Feng Fan, Yinfeng Xu, Li‐Ling Peng, Guiqing Zhang, Jing Geng, Zichen Zhang, Yi Liang and Pradeep Kumar Singh. Their work appears in journals such as Scientific Reports, Applied Energy 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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