Hui Gao

2.1k total citations
70 papers, 1.5k citations indexed

About

Hui Gao is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Hui Gao has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 17 papers in Computer Networks and Communications and 13 papers in Artificial Intelligence. Recurrent topics in Hui Gao's work include Advanced Image Fusion Techniques (8 papers), Complex Network Analysis Techniques (8 papers) and Machine Learning in Bioinformatics (6 papers). Hui Gao is often cited by papers focused on Advanced Image Fusion Techniques (8 papers), Complex Network Analysis Techniques (8 papers) and Machine Learning in Bioinformatics (6 papers). Hui Gao collaborates with scholars based in China, Netherlands and United States. Hui Gao's co-authors include Linyuan Lü, Tao Zhou, Noorbakhsh Amiri Golilarz, Lixia Tang, Wim H. Hesselink, Hao Lin, Wei Wang, Hasan Demirel, Ming Tang and Zhen Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Hui Gao

67 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hui Gao China	19	435	411	310	238	190	70	1.5k
Satu Elisa Schaeffer Mexico	9	642 1.5×	150 0.4×	526 1.7×	288 1.2×	235 1.2×	32	1.4k
Hocine Cherifi France	23	576 1.3×	86 0.2×	284 0.9×	166 0.7×	455 2.4×	122	1.4k
Kamal Berahmand Australia	33	927 2.1×	419 1.0×	1.2k 4.0×	340 1.4×	447 2.4×	54	2.5k
Kun He China	26	312 0.7×	104 0.3×	1.3k 4.1×	237 1.0×	490 2.6×	135	2.5k
Zili Zhang China	27	157 0.4×	215 0.5×	868 2.8×	165 0.7×	381 2.0×	119	2.0k
Hamid R. Rabiee Iran	23	198 0.5×	140 0.3×	423 1.4×	563 2.4×	544 2.9×	203	1.9k
Peican Zhu China	23	447 1.0×	99 0.2×	355 1.1×	163 0.7×	130 0.7×	115	1.5k
Qing Cai China	20	876 2.0×	206 0.5×	399 1.3×	241 1.0×	108 0.6×	48	1.6k
Kazumi Saito Japan	18	705 1.6×	89 0.2×	582 1.9×	155 0.7×	286 1.5×	102	1.5k
Zhiming Zheng China	19	530 1.2×	72 0.2×	275 0.9×	159 0.7×	170 0.9×	107	1.4k

Countries citing papers authored by Hui Gao

Since Specialization

Citations

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

Fields of papers citing papers by Hui Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Gao

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

All Works

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20 of 20 papers shown

Chen, Benyong, et al.. (2024). Quantitative phase image stitching guided by reconstructed intensity images in one-shot double field of view multiplexed digital holographic microscopy. Biomedical Optics Express. 15(6). 3727–3727. 1 indexed citations

Wang, Tianyu, et al.. (2024). iGATTLDA: Integrative graph attention and transformer‐based model for predicting lncRNA‐Disease associations. IET Systems Biology. 18(5). 172–182. 1 indexed citations

Zhang, Xinyu, Zheng Zhu, Fei Liao, et al.. (2023). Finite-Time Adaptive Consensus Tracking Control Based on Barrier Function and Cascaded High-Gain Observer. Drones. 7(3). 197–197. 2 indexed citations

Ren, Jia, et al.. (2023). An adaptive enhancement method for generic multi-modal high‐bit RAW grayscale image displaying on low-bit monitors. Displays. 79. 102491–102491. 1 indexed citations

Zhang, Na, et al.. (2023). EEG temporal information-based 1-D convolutional neural network for motor imagery classification. Multimedia Tools and Applications. 82(29). 45747–45767. 1 indexed citations

Gao, Hui, et al.. (2023). Center-Ness and Repulsion: Constraints to Improve Remote Sensing Object Detection via RepPoints. Remote Sensing. 15(6). 1479–1479. 7 indexed citations

Gao, Hui, et al.. (2022). Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation with Transformer. Remote Sensing. 14(19). 4942–4942. 24 indexed citations

Golilarz, Noorbakhsh Amiri, et al.. (2020). Satellite Multispectral and Hyperspectral Image De-Noising with Enhanced Adaptive Generalized Gaussian Distribution Threshold in the Wavelet Domain. Remote Sensing. 13(1). 101–101. 17 indexed citations

Golilarz, Noorbakhsh Amiri, Hui Gao, & Hasan Demirel. (2019). Satellite Image De-Noising With Harris Hawks Meta Heuristic Optimization Algorithm and Improved Adaptive Generalized Gaussian Distribution Threshold Function. IEEE Access. 7. 57459–57468. 73 indexed citations

10.

Golilarz, Noorbakhsh Amiri, Abdoljalil Addeh, Hui Gao, et al.. (2019). A New Automatic Method for Control Chart Patterns Recognition Based on ConvNet and Harris Hawks Meta Heuristic Optimization Algorithm. IEEE Access. 7. 149398–149405. 68 indexed citations

11.

Liu, Zhen, et al.. (2018). An Optimized Computational Framework for Isolation Forest. Mathematical Problems in Engineering. 2018. 1–13. 17 indexed citations

12.

Gao, Hui, et al.. (2018). Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree. International Journal of Molecular Sciences. 19(6). 1779–1779. 27 indexed citations

13.

Gao, Hui, et al.. (2018). Identification of Antioxidant Proteins With Deep Learning From Sequence Information. Frontiers in Pharmacology. 9. 1036–1036. 15 indexed citations

14.

Gao, Hui, et al.. (2016). Simulation Methods for Spreading Dynamics on Networks: A Recitation. 45(2). 288–294. 1 indexed citations

15.

Dong, Qiang, et al.. (2012). Hamiltonian connectivity of restricted hypercube-like networks under the conditional fault model. Theoretical Computer Science. 472. 46–59. 4 indexed citations

16.

Zhang, Maojun, et al.. (2009). Selecting Contributive Frames for Image Fusion in Video Mosaic. 2. 1–4. 1 indexed citations

17.

Gao, Hui, Yan Fu, & Wim H. Hesselink. (2009). Verification of a Lock-Free Implementation of Multiword LL/SC Object. 15. 31–36. 1 indexed citations

18.

Wilkinson, Michael H. F., et al.. (2008). Concurrent Computation of Attribute Filters on Shared Memory Parallel Machines. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(10). 1800–1813. 56 indexed citations

19.

Gao, Hui & Wim H. Hesselink. (2006). A general lock-free algorithm using compare-and-swap. Information and Computation. 205(2). 225–241. 14 indexed citations

20.

Gao, Hui. (2005). Design and verification of lock-free parallel algorithms. Data Archiving and Networked Services (DANS). 15 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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