Can Gao

1.1k total citations
65 papers, 748 citations indexed

About

Can Gao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Can Gao has authored 65 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 28 papers in Computational Theory and Mathematics and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Can Gao's work include Rough Sets and Fuzzy Logic (28 papers), Face and Expression Recognition (13 papers) and Text and Document Classification Technologies (11 papers). Can Gao is often cited by papers focused on Rough Sets and Fuzzy Logic (28 papers), Face and Expression Recognition (13 papers) and Text and Document Classification Technologies (11 papers). Can Gao collaborates with scholars based in China, Hong Kong and Canada. Can Gao's co-authors include Jie Zhou, Duoqian Miao, Xiaodong Yue, Zhihui Lai, Witold Pedrycz, Jun Wan, Zhihui Lai, Jiajun Wen, Jie Zhou and Zhifei Zhang and has published in prestigious journals such as IEEE Access, Pattern Recognition and Information Sciences.

In The Last Decade

Can Gao

59 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Can Gao China	16	394	344	262	182	117	65	748
Tingquan Deng China	11	260 0.7×	333 1.0×	274 1.0×	105 0.6×	198 1.7×	57	731
Chun-Ru Dong China	8	394 1.0×	137 0.4×	164 0.6×	101 0.6×	99 0.8×	31	644
Jin Ye China	12	229 0.6×	338 1.0×	113 0.4×	116 0.6×	257 2.2×	40	595
Yanyong Huang China	14	378 1.0×	407 1.2×	171 0.7×	250 1.4×	154 1.3×	26	750
Xiaodong Fan China	13	286 0.7×	471 1.4×	228 0.9×	258 1.4×	81 0.7×	40	866
Duoqian Miao China	12	219 0.6×	334 1.0×	121 0.5×	100 0.5×	301 2.6×	34	666
Rana Aamir Raza Ashfaq China	9	471 1.2×	74 0.2×	116 0.4×	80 0.4×	95 0.8×	16	702
Rishabh Iyer United States	14	560 1.4×	152 0.4×	188 0.7×	49 0.3×	31 0.3×	44	814
Jinkun Chen China	17	543 1.4×	679 2.0×	252 1.0×	398 2.2×	176 1.5×	31	982
Witold Pedrycz Canada	10	287 0.7×	194 0.6×	73 0.3×	119 0.7×	155 1.3×	23	724

Countries citing papers authored by Can Gao

Since Specialization

Citations

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

Fields of papers citing papers by Can Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Can Gao. A scholar is included among the top collaborators of Can Gao 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 Can Gao. Can Gao 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

Gao, Can, et al.. (2025). MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection. arXiv (Cornell University). 837–845.

Gao, Can, et al.. (2025). Fusing local density and approximate distance for nonparametric outlier detection. Applied Soft Computing. 185. 113898–113898.

Wang, Jinbao, et al.. (2025). Enhanced Fabric Defect Detection With Feature Contrast Interference Suppression. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 1 indexed citations

Shao, Peng, et al.. (2025). Numerical study on fluid flow and heat transfer characteristics in spiral wound heat exchanger with helical rods. International Communications in Heat and Mass Transfer. 167. 109264–109264.

Gao, Can, et al.. (2024). Robust weighted fuzzy margin-based feature selection with three-way decision. International Journal of Approximate Reasoning. 173. 109253–109253. 1 indexed citations

Gao, Can, et al.. (2024). Numerical research of an internal and external-corrugated tube-in-tube helical coil heat exchanger. Energy Sources Part A Recovery Utilization and Environmental Effects. 46(1). 3581–3600.

Gao, Can, et al.. (2024). Three-way decision-based Takagi–Sugeno–Kang fuzzy classifier for partially labeled data. Applied Soft Computing. 164. 112010–112010. 3 indexed citations

Gao, Can, et al.. (2023). Three-way decision-based co-detection for outliers. International Journal of Approximate Reasoning. 160. 108971–108971. 4 indexed citations

Gao, Can, et al.. (2023). Rough sets-based tri-trade for partially labeled data. Applied Intelligence. 53(14). 17708–17726. 1 indexed citations

10.

Gao, Can, et al.. (2023). Analysis of core attribute and approximate reduct based on the three-way decision. Applied Soft Computing. 150. 111117–111117. 5 indexed citations

11.

Zhou, Jie, Can Gao, Xizhao Wang, et al.. (2023). Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 10776–10790. 2 indexed citations

12.

Wang, Liuxin, Can Gao, Jie Zhou, & Jiajun Wen. (2023). Three-Way Co-Training with Pseudo Labels for Semi-Supervised Learning. Mathematics. 11(15). 3348–3348. 1 indexed citations

13.

Wan, Da, et al.. (2023). Unsupervised fabric defect detection with high-frequency feature mapping. Multimedia Tools and Applications. 83(7). 21615–21632. 2 indexed citations

14.

Gao, Can, et al.. (2023). Texture and semantic convolutional auto‐encoder for anomaly detection and segmentation. IET Computer Vision. 17(7). 829–843. 1 indexed citations

15.

Zhou, Jie, Witold Pedrycz, Xiaodong Yue, et al.. (2020). Projected fuzzy C-means clustering with locality preservation. Pattern Recognition. 113. 107748–107748. 57 indexed citations

16.

Zhou, Jie, Duoqian Miao, Can Gao, Zhihui Lai, & Xiaodong Yue. (2019). Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance. Information Sciences. 502. 247–267. 18 indexed citations

17.

Gao, Can, Zhihui Lai, Jie Zhou, Jiajun Wen, & Wai Keung Wong. (2018). Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction. International Journal of Approximate Reasoning. 104. 9–24. 39 indexed citations

18.

Gao, Can. (2013). Short text classification using latent Dirichlet allocation. Journal of Computer Applications. 6 indexed citations

19.

Zhang, Hongyun, Jie Zhou, Duoqian Miao, & Can Gao. (2011). Bayesian rough set model: A further investigation. International Journal of Approximate Reasoning. 53(4). 541–557. 22 indexed citations

20.

Miao, Duoqian, Can Gao, Nan Zhang, & Zhifei Zhang. (2011). Diverse reduct subspaces based co-training for partially labeled data. International Journal of Approximate Reasoning. 52(8). 1103–1117. 41 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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