Shi‐Jinn Horng

8.2k total citations · 3 hit papers
214 papers, 6.0k citations indexed

About

Shi‐Jinn Horng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Shi‐Jinn Horng has authored 214 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Computer Vision and Pattern Recognition, 77 papers in Artificial Intelligence and 44 papers in Computer Networks and Communications. Recurrent topics in Shi‐Jinn Horng's work include Face and Expression Recognition (32 papers), Digital Image Processing Techniques (29 papers) and Image Retrieval and Classification Techniques (27 papers). Shi‐Jinn Horng is often cited by papers focused on Face and Expression Recognition (32 papers), Digital Image Processing Techniques (29 papers) and Image Retrieval and Classification Techniques (27 papers). Shi‐Jinn Horng collaborates with scholars based in Taiwan, China and United States. Shi‐Jinn Horng's co-authors include Tianrui Li, Tzong‐Wann Kao, Rong‐Jian Chen, Muhammad Khurram Khan, Jui‐Lin Lai, Shengdong Du, Pingzhi Fan, Yan Yang, Yi Pan and Ray-Shine Run and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Shi‐Jinn Horng

199 papers receiving 5.7k 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.

A novel intrusion detection system based on hierarchical clustering and support vector machines

2010 332 citations Shi‐Jinn Horng, Tzong‐Wann Kao et al. Expert Systems with Applications profile →
Multivariate time series forecasting via attention-based encoder–decoder framework

2020 327 citations Shengdong Du, Tianrui Li et al. Neurocomputing profile →
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework

2019 316 citations Shengdong Du, Tianrui Li et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shi‐Jinn Horng Taiwan	40	1.9k	1.9k	1.1k	1.1k	1.0k	214	6.0k
Wing W. Y. Ng China	39	2.7k 1.4×	1.4k 0.7×	473 0.4×	784 0.7×	871 0.8×	411	6.2k
Nebojša Bačanin Serbia	42	2.6k 1.3×	898 0.5×	1.2k 1.0×	899 0.8×	1.0k 1.0×	282	5.7k
Roberto Battiti Italy	28	2.8k 1.4×	1.2k 0.6×	1.1k 1.0×	345 0.3×	1.3k 1.2×	98	6.1k
Tommy W. S. Chow Hong Kong	49	2.8k 1.4×	2.0k 1.0×	544 0.5×	582 0.5×	917 0.9×	275	7.5k
Peilin Zhao China	44	3.5k 1.8×	1.9k 1.0×	546 0.5×	983 0.9×	364 0.3×	171	6.6k
L.M. Patnaik India	24	2.0k 1.0×	1.3k 0.7×	951 0.8×	595 0.6×	1.2k 1.2×	304	6.3k
Jia Wu Australia	46	4.5k 2.3×	1.8k 0.9×	780 0.7×	1.5k 1.4×	465 0.4×	356	7.8k
Joshua Zhexue Huang China	38	2.9k 1.5×	1.3k 0.7×	1.2k 1.0×	1.3k 1.2×	338 0.3×	195	5.5k
Vincenzo Piuri Italy	37	1.7k 0.9×	1.9k 1.0×	813 0.7×	988 0.9×	968 0.9×	399	5.9k
Plamen Angelov United Kingdom	48	5.6k 2.9×	1.3k 0.7×	581 0.5×	332 0.3×	422 0.4×	307	8.9k

Countries citing papers authored by Shi‐Jinn Horng

Since Specialization

Citations

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

Fields of papers citing papers by Shi‐Jinn Horng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi‐Jinn Horng. 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 Shi‐Jinn Horng. The network helps show where Shi‐Jinn Horng may publish in the future.

Co-authorship network of co-authors of Shi‐Jinn Horng

This figure shows the co-authorship network connecting the top 25 collaborators of Shi‐Jinn Horng. A scholar is included among the top collaborators of Shi‐Jinn Horng 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 Shi‐Jinn Horng. Shi‐Jinn Horng 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

Chen, Hongmei, Tengyu Yin, Zhong Yuan, et al.. (2025). Graph diffusion with dual-distance metrics for missing multi-label feature selection. Expert Systems with Applications. 271. 126662–126662. 1 indexed citations

Yin, Tengyu, Hongmei Chen, Jihong Wan, et al.. (2025). Leveraging Fuzzy Manifold Intra-Class Correlation and Inter-Class Separability for Online Multilabel Streaming Features Analysis. IEEE Transactions on Multimedia. 27. 6933–6948. 1 indexed citations

Chen, Hongmei, et al.. (2024). Multi-view clustering via double spaces structure learning and adaptive multiple projection regression learning. Information Sciences. 688. 121396–121396. 2 indexed citations

Chen, Hongmei, et al.. (2024). Sparse orthogonal supervised feature selection with global redundancy minimization, label scaling, and robustness. Information Sciences. 666. 120454–120454. 2 indexed citations

Yin, Tengyu, Hongmei Chen, Zhong Yuan, et al.. (2024). LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection. Engineering Applications of Artificial Intelligence. 133. 108108–108108. 10 indexed citations

Chen, Hongmei, et al.. (2024). Multi-view clustering via pseudo-label guide learning and latent graph structure recovery. Pattern Recognition. 151. 110420–110420. 7 indexed citations

Chen, Hongmei, et al.. (2024). Multi-label Feature selection with adaptive graph learning and label information enhancement. Knowledge-Based Systems. 285. 111363–111363. 13 indexed citations

Yang, Yong, et al.. (2023). Multi-label feature selection based on stable label relevance and label-specific features. Information Sciences. 648. 119525–119525. 21 indexed citations

Yin, Tengyu, Hongmei Chen, Jihong Wan, et al.. (2023). Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy β covering space. Information Fusion. 104. 102150–102150. 50 indexed citations

10.

Deng, Ping, et al.. (2023). Multi-view clustering guided by unconstrained non-negative matrix factorization. Knowledge-Based Systems. 266. 110425–110425. 27 indexed citations

11.

Deng, Ping, Tianrui Li, Hongjun Wang, et al.. (2022). Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering. IEEE Transactions on Computational Social Systems. 10(3). 910–921. 36 indexed citations

12.

Deng, Ping, Fan Zhang, Tianrui Li, Hongjun Wang, & Shi‐Jinn Horng. (2021). Biased unconstrained non-negative matrix factorization for clustering. Knowledge-Based Systems. 239. 108040–108040. 8 indexed citations

13.

Huang, Yanyong, Tianrui Li, Chuan Luo, et al.. (2020). Dynamic maintenance of rough approximations in multi-source hybrid information systems. Information Sciences. 530. 108–127. 16 indexed citations

14.

Du, Shengdong, Tianrui Li, Yan Yang, & Shi‐Jinn Horng. (2020). Multivariate time series forecasting via attention-based encoder–decoder framework. Neurocomputing. 388. 269–279. 327 indexed citations breakdown →

15.

Du, Shengdong, Tianrui Li, Yan Yang, & Shi‐Jinn Horng. (2019). Deep Air Quality Forecasting Using Hybrid Deep Learning Framework. IEEE Transactions on Knowledge and Data Engineering. 33(6). 2412–2424. 316 indexed citations breakdown →

16.

Hooshyar, Danial, Rodina Ahmad, Ram Gopal Raj, et al.. (2015). A FLOWCHART-B AS ED MULTI-AGENT S YSTEM FOR ASSISTING NOVICE PROGRAMMERS WITH PROB LEM SOLVING ACTIVITIES. Malaysian Journal of Computer Science. 28(2). 132–151. 5 indexed citations

17.

Lai, Jui‐Lin, et al.. (2010). An OP-based potantiostat used in electrochemical bio-detection systems. Society of Instrument and Control Engineers of Japan. 75–79. 3 indexed citations

18.

Wang, Yuh-Rau & Shi‐Jinn Horng. (2002). An O(1) Time Parallel Algorithm for the 3D Euclidean Distance Transform on the AROB. Parallel and Distributed Processing Techniques and Applications. 1120–1126. 2 indexed citations

19.

Kao, Tzong‐Wann & Shi‐Jinn Horng. (1996). The Power of List Ranking on a Reconfigurable Array of Processors with Wider Bus Networks.. Australian Computer Journal. 28(4). e0153829–e0153829. 1 indexed citations

20.

Horng, Shi‐Jinn. (1996). Generalized Mesh-Connected Computers with Hyperbus Broadcasting for a Computer Network (Special Issue on Architectures, Algorithms and Networks for Massively parallel Computing). IEICE Transactions on Information and Systems. 79(8). 1107–1115. 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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