Fei Teng

1.5k total citations · 1 hit paper
47 papers, 1.2k citations indexed

About

Fei Teng is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Fei Teng has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Management Science and Operations Research, 10 papers in Control and Systems Engineering and 10 papers in Computational Theory and Mathematics. Recurrent topics in Fei Teng's work include Multi-Criteria Decision Making (33 papers), Optimization and Mathematical Programming (10 papers) and Rough Sets and Fuzzy Logic (10 papers). Fei Teng is often cited by papers focused on Multi-Criteria Decision Making (33 papers), Optimization and Mathematical Programming (10 papers) and Rough Sets and Fuzzy Logic (10 papers). Fei Teng collaborates with scholars based in China, Canada and Poland. Fei Teng's co-authors include Пэйдэ Лю, Zhengmin Liu, Mengjiao Shen, Lili Rong, Yushui Geng, Baoying Zhu, Peng Wang, Witold Pedrycz, Xia Liang and Hongxue Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Fei Teng

46 papers receiving 1.1k citations

Hit Papers

Probabilistic linguistic TODIM method for selecting produ... 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Probabilistic linguistic TODIM method for selecting products through online product reviews
    2019 233 citations Пэйдэ Лю, Fei Teng Information Sciences profile →

Peers

Fei Teng
Hong‐gang Peng China
Xiaomei Mi China
Peijia Ren China
Ru‐xin Nie China
Sumin Yu China
Qun Wu China
Guangxu Li China
Hong‐gang Peng China
Fei Teng
Citations per year, relative to Fei Teng Fei Teng (= 1×) peers Hong‐gang Peng

Countries citing papers authored by Fei Teng

Since Specialization
Citations

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

Fields of papers citing papers by Fei Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Teng. A scholar is included among the top collaborators of Fei Teng 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 Fei Teng. Fei Teng 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.
Zhu, Xiaoshu, et al.. (2025). ScAGCN: Graph Convolutional Network with Adaptive Aggregation Mechanism for scRNA-seq Data Dimensionality Reduction. Interdisciplinary Sciences Computational Life Sciences. 17(3). 576–585. 1 indexed citations
2.
Teng, Fei, et al.. (2024). Transaction-based government-business relationship via government customer. International Review of Financial Analysis. 97. 103795–103795. 1 indexed citations
3.
Teng, Fei, et al.. (2024). Overlapping community-driven dynamic consensus reaching model of large-scale group decision making in social network. Information Sciences. 685. 121290–121290. 5 indexed citations
4.
Teng, Fei, et al.. (2024). A novel consensus model considering individual and social behaviors under the social trust network. Information Sciences. 670. 120587–120587. 4 indexed citations
5.
Лю, Пэйдэ, et al.. (2022). Distance education quality evaluation based on multigranularity probabilistic linguistic term sets and disappointment theory. Information Sciences. 605. 159–181. 25 indexed citations
6.
Лю, Пэйдэ, et al.. (2022). SUSTAINABLE MEDICAL SUPPLIER SELECTION BASED ON MULTI-GRANULARITY PROBABILISTIC LINGUISTIC TERM SETS. Technological and Economic Development of Economy. 28(2). 381–418. 15 indexed citations
7.
Teng, Fei, et al.. (2022). Bankruptcy courts and the marketization of bond issuance. SHILAP Revista de lepidopterología. 24(3). 359–390. 3 indexed citations
8.
Cai, Charlie X., et al.. (2022). The determinants and value-relevance of voluntary disclosure of supply chain information. Accounting and Business Research. 53(4). 439–477. 8 indexed citations
9.
Wang, Lei, Lili Rong, Fei Teng, & Пэйдэ Лю. (2021). Teaching Performance Evaluation Based on the Proportional Hesitant Fuzzy Linguistic Prioritized Choquet Aggregation Operator. International Journal of Computational Intelligence Systems. 14(1). 635–635. 5 indexed citations
10.
Teng, Fei, et al.. (2021). Customer relationship and the operating performance following private placements. Nankai Business Review International. 12(2). 194–219. 1 indexed citations
11.
Teng, Fei & Пэйдэ Лю. (2020). A large group decision-making method based on a generalized Shapley probabilistic linguistic Choquet average operator and the TODIM method. Computers & Industrial Engineering. 151. 106971–106971. 31 indexed citations
12.
Лю, Пэйдэ, Ying Li, & Fei Teng. (2019). Bidirectional Projection Method for Probabilistic Linguistic Multi-criteria Group Decision-Making Based on Power Average Operator. International Journal of Fuzzy Systems. 21(8). 2340–2353. 24 indexed citations
13.
Лю, Пэйдэ & Fei Teng. (2018). Some Muirhead mean operators for probabilistic linguistic term sets and their applications to multiple attribute decision-making. Applied Soft Computing. 68. 396–431. 108 indexed citations
14.
Geng, Yushui, Пэйдэ Лю, Fei Teng, & Zhengmin Liu. (2017). Pythagorean fuzzy uncertain linguistic TODIM method and their application to multiple criteria group decision making. Journal of Intelligent & Fuzzy Systems. 33(6). 3383–3395. 30 indexed citations
15.
Лю, Пэйдэ & Fei Teng. (2017). SOME INTERVAL NEUTROSOPHIC HESITANT UNCERTAIN LINGUISTIC BONFERRONI MEAN AGGREGATION OPERATORS FOR MULTIPLE ATTRIBUTE DECISION-MAKING. International Journal for Uncertainty Quantification. 7(6). 525–572. 4 indexed citations
16.
Лю, Пэйдэ & Fei Teng. (2017). Multiple attribute group decision making methods based on some normal neutrosophic number Heronian Mean operators. Journal of Intelligent & Fuzzy Systems. 32(3). 2375–2391. 20 indexed citations
17.
Teng, Fei, et al.. (2016). Multiple attribute group decision-making method based on neutrosophic number generalized hybrid weighted averaging operator. Neural Computing and Applications. 28(8). 2063–2074. 17 indexed citations
18.
Лю, Пэйдэ & Fei Teng. (2015). An extended TODIM method for multiple attribute group decision making based on intuitionistic uncertain linguistic variables. Journal of Intelligent & Fuzzy Systems. 29(2). 701–711. 29 indexed citations
19.
Лю, Пэйдэ & Fei Teng. (2015). Multiple attribute decision making method based on normal neutrosophic generalized weighted power averaging operator. International Journal of Machine Learning and Cybernetics. 9(2). 281–293. 45 indexed citations
20.
Chen, Yixin, Henry L. Bart, & Fei Teng. (2005). A content-based image retrieval system for fish taxonomy. ScholarWorks - UNO (University of New Orleans). 237–244. 8 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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