Jiye Liang

14.6k total citations · 4 hit papers
292 papers, 10.9k citations indexed

About

Jiye Liang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Jiye Liang has authored 292 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 182 papers in Artificial Intelligence, 132 papers in Computational Theory and Mathematics and 91 papers in Information Systems. Recurrent topics in Jiye Liang's work include Rough Sets and Fuzzy Logic (125 papers), Data Mining Algorithms and Applications (76 papers) and Advanced Clustering Algorithms Research (50 papers). Jiye Liang is often cited by papers focused on Rough Sets and Fuzzy Logic (125 papers), Data Mining Algorithms and Applications (76 papers) and Advanced Clustering Algorithms Research (50 papers). Jiye Liang collaborates with scholars based in China, Hong Kong and United Kingdom. Jiye Liang's co-authors include Yuhua Qian, Chuangyin Dang, Liang Bai, Fuyuan Cao, Deyu Li, Xingwang Zhao, Witold Pedrycz, Zhongzhi Shi, Guoping Lin and Yiyu Yao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurology and Scientific Reports.

In The Last Decade

Jiye Liang

273 papers receiving 10.6k 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.

MGRS: A multi-granulation rough set

2009 540 citations Jiye Liang, Yiyu Yao et al. Information Sciences profile →
Positive approximation: An accelerator for attribute reduction in rough set theory

2010 525 citations Jiye Liang et al. Artificial Intelligence profile →
An efficient instance selection algorithm for k nearest neighbor regression

2017 288 citations Jiye Liang et al. profile →
Multigranulation decision-theoretic rough sets

2013 281 citations Jiye Liang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiye Liang China	59	7.0k	5.6k	4.2k	2.5k	1.8k	292	10.9k
Yuhua Qian China	59	8.9k 1.3×	5.8k 1.0×	4.8k 1.1×	2.5k 1.0×	2.1k 1.2×	241	11.4k
Xizhao Wang China	53	3.1k 0.4×	5.6k 1.0×	1.8k 0.4×	1.7k 0.7×	2.3k 1.3×	366	10.7k
Yiyu Yao Canada	70	14.2k 2.0×	8.1k 1.4×	6.4k 1.5×	5.5k 2.2×	1.7k 0.9×	345	17.8k
Chuangyin Dang Hong Kong	43	4.0k 0.6×	2.9k 0.5×	2.2k 0.5×	1.3k 0.5×	882 0.5×	211	7.1k
Qiang Shen United Kingdom	43	3.4k 0.5×	5.0k 0.9×	2.2k 0.5×	1.4k 0.6×	1.7k 0.9×	387	10.5k
Duoqian Miao China	43	3.1k 0.4×	3.0k 0.5×	1.8k 0.4×	973 0.4×	1.6k 0.9×	268	6.2k
William Zhu China	33	3.7k 0.5×	2.2k 0.4×	1.6k 0.4×	872 0.3×	1.0k 0.6×	176	5.4k
Jianhua Dai China	42	2.6k 0.4×	2.5k 0.5×	1.4k 0.3×	1.1k 0.4×	920 0.5×	243	5.3k
Andrzej Skowron Poland	30	6.5k 0.9×	3.6k 0.6×	3.2k 0.8×	1.7k 0.7×	718 0.4×	199	7.7k
Zdzisław Pawlak Poland	34	12.9k 1.8×	7.2k 1.3×	6.2k 1.5×	3.7k 1.5×	1.3k 0.7×	158	15.8k

Countries citing papers authored by Jiye Liang

Since Specialization

Citations

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

Fields of papers citing papers by Jiye Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiye Liang

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

20 of 20 papers shown

1.

Liang, Jiye, et al.. (2025). Causal Inference for Multi-Criteria Rating Recommender Systems. ACM Transactions on Information Systems. 43(6). 1–30.

2.

Bai, Liang, et al.. (2025). Label-Semantic-Based Prompt Tuning for Vision Transformer Adaptation in Medical Image Analysis. IEEE Transactions on Circuits and Systems for Video Technology. 35(11). 10906–10917.

3.

Wang, Wenjian, et al.. (2024). A motif based hypergraph multi-level semantic encoding framework for social recommender systems. Signal Processing. 230. 109797–109797. 1 indexed citations

4.

Liu, Yushan, et al.. (2024). Linear active disturbance rejection control for large onshore wind turbines in full wind speed range. Control Engineering Practice. 151. 106038–106038. 4 indexed citations

5.

Guan, Lei, et al.. (2024). Advances of Pipeline Model Parallelism for Deep Learning Training: An Overview. Journal of Computer Science and Technology. 39(3). 567–584. 8 indexed citations

6.

Liang, Jiye, et al.. (2024). A unified framework to control estimation error in reinforcement learning. Neural Networks. 178. 106483–106483. 1 indexed citations

7.

Cao, Fuyuan, et al.. (2024). FWCEC: An Enhanced Feature Weighting Method via Causal Effect for Clustering. IEEE Transactions on Knowledge and Data Engineering. 37(2). 685–697. 1 indexed citations

8.

Liang, Jiye, et al.. (2024). Controlling estimation error in reinforcement learning via Reinforced Operation. Information Sciences. 675. 120736–120736. 1 indexed citations

9.

Yang, Xian, et al.. (2023). Exploring the role of edge distribution in graph convolutional networks. Neural Networks. 168. 459–470. 6 indexed citations

10.

Bai, Liang, et al.. (2023). Spectral clustering with robust self-learning constraints. Artificial Intelligence. 320. 103924–103924. 14 indexed citations

11.

Liang, Jiye, et al.. (2023). Group-wise interactive region learning for zero-shot recognition. Information Sciences. 642. 119135–119135. 2 indexed citations

12.

Bai, Liang, et al.. (2023). A zero-shot learning boosting framework via concept-constrained clustering. Pattern Recognition. 145. 109937–109937. 2 indexed citations

13.

Cao, Fuyuan, et al.. (2023). Evaluating Classification Model Against Bayes Error Rate. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 9639–9653. 3 indexed citations

14.

Cao, Fuyuan, et al.. (2023). Efficient Classification by Removing Bayesian Confusing Samples. IEEE Transactions on Knowledge and Data Engineering. 36(3). 1084–1098. 4 indexed citations

15.

Yu, Kui, et al.. (2023). Towards Privacy-Aware Causal Structure Learning in Federated Setting. IEEE Transactions on Big Data. 9(6). 1525–1535. 5 indexed citations

16.

Liang, Jiye, et al.. (2023). Multi-actor mechanism for actor-critic reinforcement learning. Information Sciences. 647. 119494–119494. 5 indexed citations

17.

Wang, Baoli, Jiye Liang, & Yiyu Yao. (2022). A trilevel analysis of uncertainty measuresin partition-based granular computing. Artificial Intelligence Review. 56(1). 533–575. 8 indexed citations

18.

Bai, Liang & Jiye Liang. (2020). Sparse Subspace Clustering with Entropy-Norm. International Conference on Machine Learning. 1. 561–568. 9 indexed citations

19.

Liang, Jiye. (2011). A Method for Consensus Analysis in Hybrid Multiple Attribute Group Decision Making. Zhongguo guanli kexue. 2 indexed citations

20.

Liang, Jiye. (2002). Application of Information Entropy in Rough Set Theory. Journal of Shanxi University.

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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