Jun Liu

10.3k total citations · 1 hit paper
455 papers, 6.7k citations indexed

About

Jun Liu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Jun Liu has authored 455 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Artificial Intelligence, 110 papers in Computational Theory and Mathematics and 81 papers in Management Science and Operations Research. Recurrent topics in Jun Liu's work include Multi-Criteria Decision Making (74 papers), Rough Sets and Fuzzy Logic (74 papers) and Advanced Algebra and Logic (39 papers). Jun Liu is often cited by papers focused on Multi-Criteria Decision Making (74 papers), Rough Sets and Fuzzy Logic (74 papers) and Advanced Algebra and Logic (39 papers). Jun Liu collaborates with scholars based in China, United Kingdom and Spain. Jun Liu's co-authors include Luis Martı́nez, Jianbo Yang, Hui Wang, Hongwei Wang, Da Ruan, Jin Wang, H. S. Sii, Randall Sadler, Jian-Bo Yang and Dong‐Ling Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Bioinformatics.

In The Last Decade

Jun Liu

385 papers receiving 6.4k 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.

Belief rule-base inference methodology using the evidential reasoning Approach-RIMER

2006 593 citations Jun Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Liu China	43	2.1k	2.0k	1.4k	779	567	455	6.7k
Yi Peng China	45	2.3k 1.1×	2.8k 1.4×	624 0.4×	640 0.8×	1.3k 2.3×	143	7.8k
Da Ruan Belgium	45	1.8k 0.9×	3.6k 1.8×	2.1k 1.5×	1.1k 1.4×	1.2k 2.1×	207	7.0k
Bo Yuan China	19	2.4k 1.2×	2.1k 1.1×	1.2k 0.9×	861 1.1×	488 0.9×	79	6.4k
Xiao‐Jun Zeng United Kingdom	37	3.7k 1.8×	3.3k 1.7×	1.1k 0.8×	1.4k 1.8×	790 1.4×	240	10.0k
Gerhard‐Wilhelm Weber Türkiye	53	791 0.4×	1.8k 0.9×	662 0.5×	1.3k 1.7×	273 0.5×	417	8.9k
Francisco Javier Cabrerizo Spain	35	2.6k 1.2×	4.0k 2.0×	1.5k 1.0×	587 0.8×	627 1.1×	127	6.5k
Vicenç Torra Spain	38	3.2k 1.5×	5.1k 2.6×	1.8k 1.3×	1.6k 2.0×	552 1.0×	378	8.8k
Ching‐Hsue Cheng Taiwan	43	1.5k 0.7×	4.6k 2.3×	524 0.4×	1.0k 1.3×	925 1.6×	211	8.3k
Vadlamani Ravi India	36	3.1k 1.5×	1.1k 0.6×	462 0.3×	313 0.4×	1.2k 2.2×	178	6.1k
Pãnos M. Pardalos United States	60	2.7k 1.3×	1.3k 0.7×	2.7k 1.9×	2.0k 2.6×	438 0.8×	516	15.0k

Countries citing papers authored by Jun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Jun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Liu. A scholar is included among the top collaborators of Jun Liu 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 Jun Liu. Jun Liu 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:

20 of 20 papers shown

Liu, Jing, Feng Zhou, Jun Liu, et al.. (2025). CTAB-assisted fabrication of oxygen vacancies on rGO/Bi4Ti3O12 enhanced catalytic ozonation for degradation of sulfamethoxazole: Performance, degradation pathway and mechanism insight. Journal of Water Process Engineering. 72. 107452–107452. 3 indexed citations

Xu, Yang, et al.. (2025). Δ1: An Automated Theorem Generator. International Journal of Computational Intelligence Systems. 18(1).

Ning, Shunyan, Jun Liu, Shi-Chang Zhang, et al.. (2025). Efficiently selective removal of radioactive thorium and uranium from rare earths by trialkyl phosphine oxide modified porous silica-polymer based adsorbent. Separation and Purification Technology. 364. 132426–132426. 7 indexed citations

Lin, Long, et al.. (2024). Polyp-LVT: Polyp segmentation with lightweight vision transformers. Knowledge-Based Systems. 300. 112181–112181. 11 indexed citations

Liu, Jun, et al.. (2024). Security assessment and diagnosis for industrial water resources using TODIMSort considering Best–Worst Method with double hierarchy hesitant fuzzy linguistic term set. Environmental Research. 259. 119539–119539. 2 indexed citations

Fu, Chao, et al.. (2024). An extended multi-expert concept lattice-based heterogeneous multi-attribute group decision-making approach. Information Sciences. 665. 120345–120345. 1 indexed citations

Li, Weiwei, et al.. (2024). Vector-based uncertain ordered density weighted averaging: a family of incentive-oriented aggregation operators. Soft Computing. 28(17-18). 10007–10021.

Shen, Lian, et al.. (2024). A heterogeneous graph neural network with automatic discovery of effective metapaths for drug–target interaction prediction. Future Generation Computer Systems. 160. 283–294. 3 indexed citations

Yang, Bohan, Jianfeng Zhu, Jun Liu, et al.. (2024). UpWB: An Uncoupled Architecture Design for White-box Cryptography Using Vectorized Montgomery Multiplication. IACR Transactions on Cryptographic Hardware and Embedded Systems. 2024(2). 677–713.

10.

Martı́nez, Luis, et al.. (2023). A concept lattice-based expert opinion aggregation method for multi-attribute group decision-making with linguistic information. Expert Systems with Applications. 237. 121485–121485. 7 indexed citations

11.

Liu, Jun, et al.. (2023). A behavioural hierarchical analysis framework in a smart home: Integrating HMM and probabilistic model checking. Information Fusion. 95. 275–292. 14 indexed citations

12.

Yang, Long-Hao, Fei-Fei Ye, Jun Liu, & Ying‐Ming Wang. (2023). Belief rule-base expert system with multilayer tree structure for complex problems modeling. Expert Systems with Applications. 217. 119567–119567. 17 indexed citations

13.

Ye, Fei-Fei, Long-Hao Yang, James Uhomoibhi, et al.. (2023). Evidential reasoning rule for environmental governance cost prediction with considering causal relationship and data reliability. Soft Computing. 27(17). 12309–12327. 4 indexed citations

14.

Wang, Xia, et al.. (2023). Mobile agent path planning under uncertain environment using reinforcement learning and probabilistic model checking. Knowledge-Based Systems. 264. 110355–110355. 13 indexed citations

15.

Wang, Hui, et al.. (2023). Cluster-based data relabelling for classification. Information Sciences. 648. 119485–119485.

16.

Huang, Jing, et al.. (2022). Evaluation of Tobacco Resource Allocation Based on Analytic Hierarchy Process. 3(2). 1 indexed citations

17.

Wang, Hui, et al.. (2019). A Novel Gaussian Mixture Model for Classification. 3298–3303. 29 indexed citations

18.

Zhang, Haifeng, et al.. (2019). Solution of program access rights configuration based on chip simulator. SHILAP Revista de lepidopterología.

19.

Lu, Xu, Rongjun Chen, Jun Liu, & Lianglun Cheng. (2018). Square partition‐based node scheduling algorithm for wireless passive sensor networks. International Journal of Communication Systems. 31(8). 8 indexed citations

20.

Wang, Ying‐Ming, Jun Liu, Taha Elhag, & Luis Martı́nez. (2007). Bridge Risk Assessment Using a Hybrid AHP/DEA Methodology. CityU Scholars. 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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