Haibo Jiang

947 total citations
17 papers, 728 citations indexed

About

Haibo Jiang is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Haibo Jiang has authored 17 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 11 papers in Management Science and Operations Research and 3 papers in Information Systems. Recurrent topics in Haibo Jiang's work include Rough Sets and Fuzzy Logic (15 papers), Multi-Criteria Decision Making (11 papers) and Data Mining Algorithms and Applications (3 papers). Haibo Jiang is often cited by papers focused on Rough Sets and Fuzzy Logic (15 papers), Multi-Criteria Decision Making (11 papers) and Data Mining Algorithms and Applications (3 papers). Haibo Jiang collaborates with scholars based in China, Canada and Spain. Haibo Jiang's co-authors include Jianming Zhan, Bao Qing Hu, Yiyu Yao, Degang Chen, Bingzhen Sun, José Carlos R. Alcantud, Jingjing Xie, Jianfeng Yang, Yue Zhang and Wei Hu and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Haibo Jiang

16 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haibo Jiang China	13	565	447	189	146	68	17	728
Wen Sheng Du China	12	331 0.6×	433 1.0×	162 0.9×	132 0.9×	154 2.3×	27	598
Fan Jia China	7	365 0.6×	393 0.9×	105 0.6×	68 0.5×	73 1.1×	15	521
Musavarah Sarwar Pakistan	18	310 0.5×	532 1.2×	155 0.8×	59 0.4×	71 1.0×	60	737
Władysław Homenda Poland	11	222 0.4×	213 0.5×	482 2.6×	77 0.5×	25 0.4×	62	656
Antonı́n Dvořák Czechia	14	352 0.6×	246 0.6×	349 1.8×	54 0.4×	15 0.2×	48	642
Tianxing Wang China	10	349 0.6×	353 0.8×	168 0.9×	59 0.4×	58 0.9×	21	501
Manish Aggarwal India	14	140 0.2×	335 0.7×	183 1.0×	46 0.3×	85 1.3×	52	534
Mikel Elkano Spain	9	296 0.5×	399 0.9×	304 1.6×	62 0.4×	70 1.0×	15	661
Ghous Ali Pakistan	20	432 0.8×	766 1.7×	153 0.8×	33 0.2×	177 2.6×	48	878
Martin Štěpnička Czechia	17	423 0.7×	365 0.8×	578 3.1×	66 0.5×	40 0.6×	68	833

Countries citing papers authored by Haibo Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Haibo Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Jiang

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

All Works

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17 of 17 papers shown

Jiang, Haibo & Bao Qing Hu. (2025). On four novel kinds of fuzzy β-covering-based rough sets and their applications to three-way approximations. Fuzzy Sets and Systems. 507. 109312–109312. 2 indexed citations

Jiang, Haibo & Bao Qing Hu. (2024). A sequential multiple attribute three-way group decision-making method to heterogeneous MAGDM problems with unknown weight information. Expert Systems with Applications. 256. 124869–124869. 8 indexed citations

Zhang, Yue, et al.. (2023). Research on test and evaluation method of unmanned ground vehicle information display performance based on fuzzy comprehensive evaluation method. Journal of Physics Conference Series. 2478(12). 122061–122061.

Hu, Bao Qing, et al.. (2023). A water quality prediction method based on k-nearest-neighbor probability rough sets and PSO-LSTM. Applied Intelligence. 53(24). 31106–31128. 12 indexed citations

Jiang, Haibo & Bao Qing Hu. (2022). On two new types of fuzzy rough sets via overlap functions and corresponding applications to three-way approximations. Information Sciences. 620. 158–186. 12 indexed citations

Xie, Jingjing, Bao Qing Hu, & Haibo Jiang. (2022). A novel method to attribute reduction based on weighted neighborhood probabilistic rough sets. International Journal of Approximate Reasoning. 144. 1–17. 30 indexed citations

Jiang, Haibo & Bao Qing Hu. (2022). An optimization viewpoint on evaluation-based interval-valued multi-attribute three-way decision model. Information Sciences. 603. 60–90. 22 indexed citations

Jiang, Haibo & Bao Qing Hu. (2022). On (O,G)-fuzzy rough sets based on overlap and grouping functions over complete lattices. International Journal of Approximate Reasoning. 144. 18–50. 28 indexed citations

Jiang, Haibo & Bao Qing Hu. (2021). A decision-theoretic fuzzy rough set in hesitant fuzzy information systems and its application in multi-attribute decision-making. Information Sciences. 579. 103–127. 44 indexed citations

10.

Jiang, Haibo, Jianming Zhan, & Degang Chen. (2021). Covering-based variable precision L-fuzzy rough sets based on residuated lattices and corresponding applications. International Journal of Machine Learning and Cybernetics. 12(8). 2407–2429. 17 indexed citations

11.

Jiang, Haibo & Bao Qing Hu. (2021). A novel three-way group investment decision model under intuitionistic fuzzy multi-attribute group decision-making environment. Information Sciences. 569. 557–581. 59 indexed citations

12.

Zhan, Jianming, Haibo Jiang, & Yiyu Yao. (2020). Three-Way Multiattribute Decision-Making Based on Outranking Relations. IEEE Transactions on Fuzzy Systems. 29(10). 2844–2858. 197 indexed citations

13.

Jiang, Haibo, Jianming Zhan, & Degang Chen. (2020). PROMETHEE II method based on variable precision fuzzy rough sets with fuzzy neighborhoods. Artificial Intelligence Review. 54(2). 1281–1319. 30 indexed citations

14.

Zhan, Jianming, Haibo Jiang, & Yiyu Yao. (2020). Covering-based variable precision fuzzy rough sets with PROMETHEE-EDAS methods. Information Sciences. 538. 314–336. 84 indexed citations

15.

Jiang, Haibo, Jianming Zhan, Bingzhen Sun, & José Carlos R. Alcantud. (2020). An MADM approach to covering-based variable precision fuzzy rough sets: an application to medical diagnosis. International Journal of Machine Learning and Cybernetics. 11(9). 2181–2207. 46 indexed citations

16.

Jiang, Haibo, Jianming Zhan, & Degang Chen. (2018). Covering-Based Variable Precision $(\mathcal {I},\mathcal {T})$-Fuzzy Rough Sets With Applications to Multiattribute Decision-Making. IEEE Transactions on Fuzzy Systems. 27(8). 1558–1572. 136 indexed citations

17.

Yang, Jianfeng, Haibo Jiang, & Wei Hu. (2011). A Methodology for the Optimization Of Multi-program Shared Scratchpad Memory. International Journal on Smart Sensing and Intelligent Systems. 4(1). 1–20. 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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