Fuqi Liang

672 total citations · 1 hit paper
8 papers, 478 citations indexed

About

Fuqi Liang is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Fuqi Liang has authored 8 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management Science and Operations Research, 3 papers in Control and Systems Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Fuqi Liang's work include Multi-Criteria Decision Making (7 papers), Optimization and Mathematical Programming (3 papers) and Cognitive Science and Mapping (2 papers). Fuqi Liang is often cited by papers focused on Multi-Criteria Decision Making (7 papers), Optimization and Mathematical Programming (3 papers) and Cognitive Science and Mapping (2 papers). Fuqi Liang collaborates with scholars based in Netherlands, Italy and China. Fuqi Liang's co-authors include Matteo Brunelli, Jafar Rezaei, Li Li, Quande Qin, Gao-Feng Yu, Yu‐Wang Chen, Yi‐Ming Wei and Xin Li and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Information Sciences and Applied Soft Computing.

In The Last Decade

Fuqi Liang

8 papers receiving 466 citations

Hit Papers

align trajectories

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.

Consistency issues in the best worst method: Measurements and thresholds

2019 231 citations Fuqi Liang, Matteo Brunelli et al. Omega profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fuqi Liang Netherlands	6	279	107	90	53	40	8	478
Serhat Aydın Türkiye	13	244 0.9×	75 0.7×	84 0.9×	50 0.9×	39 1.0×	39	495
Natalja Kosareva Lithuania	11	381 1.4×	84 0.8×	120 1.3×	46 0.9×	22 0.6×	26	573
Arash Alizadeh Iran	11	291 1.0×	81 0.8×	65 0.7×	31 0.6×	33 0.8×	14	501
Alireza Sotoudeh-Anvari Iran	11	412 1.5×	131 1.2×	144 1.6×	71 1.3×	23 0.6×	21	757
Daniel O. Aikhuele Nigeria	14	152 0.5×	82 0.8×	99 1.1×	38 0.7×	56 1.4×	71	477
Aleksandra Bączkiewicz Poland	14	290 1.0×	77 0.7×	79 0.9×	60 1.1×	15 0.4×	37	635
Xiuli Geng China	13	214 0.8×	103 1.0×	113 1.3×	44 0.8×	53 1.3×	31	686
Arman Derakhti Chile	7	317 1.1×	123 1.1×	69 0.8×	84 1.6×	47 1.2×	8	604
Xiuzhi Sang China	15	301 1.1×	82 0.8×	99 1.1×	91 1.7×	22 0.6×	30	786
Duško Tešić Serbia	14	485 1.7×	145 1.4×	123 1.4×	66 1.2×	40 1.0×	33	763

Countries citing papers authored by Fuqi Liang

Since Specialization

Citations

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

Fields of papers citing papers by Fuqi Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuqi Liang

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Liang, Fuqi, Matteo Brunelli, & Jafar Rezaei. (2022). Best-worst Tradeoff method. Information Sciences. 610. 957–976. 20 indexed citations

2.

Liang, Fuqi, et al.. (2021). Inland terminal location selection using the multi-stakeholder best-worst method. International Journal of Logistics Research and Applications. 27(3). 363–385. 21 indexed citations

3.

Liang, Fuqi, et al.. (2020). Belief-Based Best Worst Method. International Journal of Information Technology & Decision Making. 20(1). 287–320. 14 indexed citations

4.

Liang, Fuqi, Matteo Brunelli, & Jafar Rezaei. (2019). Consistency issues in the best worst method: Measurements and thresholds. Omega. 96. 102175–102175. 231 indexed citations breakdown →

5.

Qin, Quande, Fuqi Liang, Li Li, Yu‐Wang Chen, & Gao-Feng Yu. (2017). A TODIM-based multi-criteria group decision making with triangular intuitionistic fuzzy numbers. Applied Soft Computing. 55. 93–107. 136 indexed citations

6.

Qin, Quande, Fuqi Liang, Li Li, & Yi‐Ming Wei. (2017). Selection of energy performance contracting business models: A behavioral decision-making approach. Renewable and Sustainable Energy Reviews. 72. 422–433. 51 indexed citations

7.

Li, Li, Fuqi Liang, Quande Qin, & Xin Li. (2016). Behavioral multi-criteria decision making with multi-granularity 2-dimension fuzzy linguistic variables. 5. 5688–5694. 2 indexed citations

8.

Liang, Fuqi, et al.. (1994). XRD STUDIES ON A PHASE TRANSFORMATION OF Co. Acta Metallurgica Sinica. 30(13). 45–48. 3 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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