Feng Kong

488 total citations
44 papers, 307 citations indexed

About

Feng Kong is a scholar working on Management Science and Operations Research, Safety, Risk, Reliability and Quality and Electrical and Electronic Engineering. According to data from OpenAlex, Feng Kong has authored 44 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management Science and Operations Research, 10 papers in Safety, Risk, Reliability and Quality and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Feng Kong's work include Multi-Criteria Decision Making (12 papers), Evaluation and Optimization Models (9 papers) and Evaluation Methods in Various Fields (8 papers). Feng Kong is often cited by papers focused on Multi-Criteria Decision Making (12 papers), Evaluation and Optimization Models (9 papers) and Evaluation Methods in Various Fields (8 papers). Feng Kong collaborates with scholars based in China, Malaysia and Algeria. Feng Kong's co-authors include Hongyan Liu, Xiaojuan Wu, Poh Kiat Ng, Yuwei Wang, Hongyan Liu, Wei Wei, M. Reyasudin Basir Khan, Ying Liu, Hongyan Liu and Ying Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Energy.

In The Last Decade

Feng Kong

42 papers receiving 289 citations

Peers

Feng Kong
Hamed Zamanisabzi United States
Mirko Stojčić Bosnia and Herzegovina
Feng Kong
Citations per year, relative to Feng Kong Feng Kong (= 1×) peers Mostafa Shabani

Countries citing papers authored by Feng Kong

Since Specialization
Citations

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

Fields of papers citing papers by Feng Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Kong. A scholar is included among the top collaborators of Feng Kong 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 Feng Kong. Feng Kong 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
1.
Kong, Feng, et al.. (2025). Integrating artificial intelligence in healthcare: applications, challenges, and future directions. Future Science OA. 11(1). 2527505–2527505. 9 indexed citations
4.
Ng, Poh Kiat, et al.. (2024). AI and ML in IR4.0: A Short Review of Applications and Challenges. SHILAP Revista de lepidopterología. 141–148. 6 indexed citations
5.
Kong, Feng, et al.. (2022). A novel short-term carbon emission prediction model based on secondary decomposition method and long short-term memory network. Environmental Science and Pollution Research. 29(43). 64983–64998. 32 indexed citations
6.
Kong, Feng, et al.. (2022). A daily carbon emission prediction model combining two-stage feature selection and optimized extreme learning machine. Environmental Science and Pollution Research. 29(58). 87983–87997. 28 indexed citations
7.
Kong, Feng, et al.. (2021). Project Resource Input Optimization Problem with Combined Time Constraints Based on Node Network Diagram and Constraint Programming. Journal of Construction Engineering and Management. 147(12). 1 indexed citations
8.
9.
Kong, Feng, Zhiguang Zhang, & Ying Liu. (2008). Selection of Suppliers Based on Fuzzy Multicriteria Decision Making. 31. 198–202. 2 indexed citations
10.
Kong, Feng, et al.. (2008). APPLYING FUZZY ANALYTIC HIERARCHY PROCESS TO EVALUATE SUCCESS FACTORS OF E-COMMERCE. 40 indexed citations
11.
12.
Kong, Feng, et al.. (2008). Study on the Evaluation of Technological Innovation Capability Under Uncertainty. 177. 1–4. 6 indexed citations
13.
Kong, Feng. (2007). A New Fuzzy Hierarchical Analysis Method Based on the Ideal Alternative. 120. 1204–1208. 2 indexed citations
14.
Zhang, Zhiguang, et al.. (2007). Selection of Suppliers based on VIKOR algorithm. 146–148.
15.
Kong, Feng & Hongyan Liu. (2007). A New Fuzzy MADM Algorithm Based on Subjective and Objective Integrated Weights. 1–6. 5 indexed citations
16.
Kong, Feng. (2006). Research on Fuzzy Control for Highway Tunnel Longitudinal Ventilation System. Jisuanji fangzhen. 1 indexed citations
17.
Kong, Feng & Hongyan Liu. (2006). A New Multi-attribute Decision Making Method Based on Fuzzy Neural Network. 2676–2680. 1 indexed citations
18.
Kong, Feng & Hongyan Liu. (2005). Analysis of market power of oligopolistic generators. 7–10 Vol. 1. 5 indexed citations
19.
Liu, Hongyan & Feng Kong. (2005). A NEW MADM ALGORITHM BASED ON FUZZY SUBJECTIVE AND OBJECTIVE INTEGRATED WEIGHTS. 11 indexed citations
20.
Kong, Feng, et al.. (2004). Application of improved partheno-genetic algorithm in generation expansion planning of power system. 1 indexed citations

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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