Lidan Pei

404 total citations
18 papers, 349 citations indexed

About

Lidan Pei is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Lidan Pei has authored 18 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 10 papers in Computational Theory and Mathematics and 6 papers in Control and Systems Engineering. Recurrent topics in Lidan Pei's work include Multi-Criteria Decision Making (12 papers), Optimization and Mathematical Programming (6 papers) and Graph theory and applications (5 papers). Lidan Pei is often cited by papers focused on Multi-Criteria Decision Making (12 papers), Optimization and Mathematical Programming (6 papers) and Graph theory and applications (5 papers). Lidan Pei collaborates with scholars based in China, United States and India. Lidan Pei's co-authors include Feifei Jin, Huayou Chen, Ligang Zhou, Jinpei Liu, Zhiwei Ni, Harish Garg, Xiang-Feng Pan, Lijun Wei, Xuhui Zhu and Liping Ni and has published in prestigious journals such as Sustainability, Knowledge-Based Systems and Computers & Industrial Engineering.

In The Last Decade

Lidan Pei

18 papers receiving 335 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lidan Pei China 10 292 102 97 97 66 18 349
Yongfeng Pang China 13 344 1.2× 175 1.7× 49 0.5× 109 1.1× 126 1.9× 28 426
Khizar Hayat Pakistan 13 361 1.2× 92 0.9× 76 0.8× 119 1.2× 47 0.7× 30 412
Roberto Ricci Italy 8 233 0.8× 70 0.7× 55 0.6× 93 1.0× 108 1.6× 38 350
Surajit Borkotokey India 11 358 1.2× 85 0.8× 101 1.0× 102 1.1× 135 2.0× 59 469
Vakkas Uluçay Türkiye 11 348 1.2× 129 1.3× 63 0.6× 117 1.2× 95 1.4× 42 398
N. O. Alshehri Saudi Arabia 11 370 1.3× 75 0.7× 122 1.3× 170 1.8× 35 0.5× 34 445
Gang Qian China 8 361 1.2× 144 1.4× 108 1.1× 115 1.2× 118 1.8× 20 406
Syeda Tayyba Tehrim Pakistan 8 313 1.1× 97 1.0× 68 0.7× 131 1.4× 59 0.9× 11 347
Livia D’Apuzzo Italy 12 356 1.2× 54 0.5× 104 1.1× 184 1.9× 76 1.2× 25 394
Hüseyin Kamacı Türkiye 16 538 1.8× 114 1.1× 98 1.0× 306 3.2× 93 1.4× 41 584

Countries citing papers authored by Lidan Pei

Since Specialization
Citations

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

Fields of papers citing papers by Lidan Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lidan Pei

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

All Works

18 of 18 papers shown
1.
Pei, Lidan, et al.. (2024). Trigonometric function-driven interval type-2 trapezoidal fuzzy information measures and their applications to multi-attribute decision-making. Engineering Applications of Artificial Intelligence. 135. 108694–108694. 4 indexed citations
2.
Pei, Lidan. (2022). About AutoGraphiX Conjecture on Domination Number and Remoteness of Graphs. Mathematics. 10(19). 3706–3706. 1 indexed citations
3.
Pei, Lidan, Feifei Jin, Reza Langari, & Harish Garg. (2021). Local adjustment strategy-driven probabilistic linguistic group decision-making method and its application for fog-haze influence factors evaluation. Journal of Intelligent & Fuzzy Systems. 40(3). 4135–4154. 7 indexed citations
4.
Pei, Lidan & Xiang-Feng Pan. (2020). The minimum eccentric distance sum of trees with given distance k-domination number. Discrete Mathematics Algorithms and Applications. 12(4). 2050052–2050052. 4 indexed citations
5.
Jin, Feifei, Harish Garg, Lidan Pei, Jinpei Liu, & Huayou Chen. (2020). Multiplicative Consistency Adjustment Model and Data Envelopment Analysis-Driven Decision-Making Process with Probabilistic Hesitant Fuzzy Preference Relations. International Journal of Fuzzy Systems. 22(7). 2319–2332. 48 indexed citations
6.
Pei, Lidan, et al.. (2020). Proofs of the AutoGraphiX conjectures on the domination number, average eccentricity and proximity. Discrete Applied Mathematics. 289. 292–301. 3 indexed citations
7.
Jin, Feifei, Lidan Pei, Jinpei Liu, Ligang Zhou, & Huayou Chen. (2019). Decision-making model with fuzzy preference relations based on consistency local adjustment strategy and DEA. Neural Computing and Applications. 32(15). 11607–11620. 20 indexed citations
8.
Pei, Lidan, et al.. (2019). On autographix conjecture regarding domination number and average eccentricity. Filomat. 33(3). 699–710. 4 indexed citations
9.
Jin, Feifei, Lidan Pei, Huayou Chen, Reza Langari, & Jinpei Liu. (2019). A Novel Decision-Making Model with Pythagorean Fuzzy Linguistic Information Measures and Its Application to a Sustainable Blockchain Product Assessment Problem. Sustainability. 11(20). 5630–5630. 19 indexed citations
10.
Pei, Lidan & Xiang-Feng Pan. (2018). Extremal values on Zagreb indices of trees with given distance k-domination number. Journal of Inequalities and Applications. 2018(1). 16–16. 10 indexed citations
11.
12.
Pei, Lidan, et al.. (2018). Some improved inequalities related to Vizing's conjecture. Information Processing Letters. 135. 85–91. 3 indexed citations
13.
Pei, Lidan & Feifei Jin. (2018). Two Hesitant Multiplicative Decision-Making Algorithms and Their Application to Fog-Haze Factor Assessment Problem. Algorithms. 11(10). 154–154. 1 indexed citations
14.
Jin, Feifei, Zhiwei Ni, Lidan Pei, et al.. (2017). A decision support model for group decision making with intuitionistic fuzzy linguistic preferences relations. Neural Computing and Applications. 31(S2). 1103–1124. 32 indexed citations
15.
Jin, Feifei, Zhiwei Ni, Lidan Pei, et al.. (2017). Approaches to group decision making with linguistic preference relations based on multiplicative consistency. Computers & Industrial Engineering. 114. 69–79. 29 indexed citations
16.
Pei, Lidan, Feifei Jin, Zhiwei Ni, Huayou Chen, & Zhifu Tao. (2017). An automatic iterative decision-making method for intuitionistic fuzzy linguistic preference relations. International Journal of Systems Science. 48(13). 2779–2793. 12 indexed citations
17.
Jin, Feifei, Zhiwei Ni, Lidan Pei, Huayou Chen, & Yaping Li. (2016). Goal programming approach to derive intuitionistic multiplicative weights based on intuitionistic multiplicative preference relations. International Journal of Machine Learning and Cybernetics. 9(4). 641–650. 18 indexed citations
18.
Jin, Feifei, Lidan Pei, Huayou Chen, & Ligang Zhou. (2014). Interval-valued intuitionistic fuzzy continuous weighted entropy and its application to multi-criteria fuzzy group decision making. Knowledge-Based Systems. 59. 132–141. 93 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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