Guanjin Wang

2.1k total citations · 1 hit paper
66 papers, 1.5k citations indexed

About

Guanjin Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Guanjin Wang has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Civil and Structural Engineering. Recurrent topics in Guanjin Wang's work include Imbalanced Data Classification Techniques (9 papers), Face and Expression Recognition (8 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Guanjin Wang is often cited by papers focused on Imbalanced Data Classification Techniques (9 papers), Face and Expression Recognition (8 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Guanjin Wang collaborates with scholars based in Australia, China and Hong Kong. Guanjin Wang's co-authors include Kup‐Sze Choi, Kok Wai Wong, Zhaohong Deng, Wendell P. Ela, Jie Lü, Stephen Wai Hang Kwok, Shitong Wang, Fu-Lai Chung, Yizhang Jiang and Pengjiang Qian and has published in prestigious journals such as Expert Systems with Applications, Journal of Applied Mechanics and Cement and Concrete Composites.

In The Last Decade

Guanjin Wang

59 papers receiving 1.4k 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 review of irregular time series data handling with gated recurrent neural networks

2021 257 citations Kok Wai Wong, Guanjin Wang et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guanjin Wang Australia	19	657	226	195	155	120	66	1.5k
Mohammed Al-Sarem Saudi Arabia	24	639 1.0×	127 0.6×	181 0.9×	209 1.3×	155 1.3×	75	1.5k
Muhammad Umer Pakistan	30	1.1k 1.7×	52 0.2×	324 1.7×	198 1.3×	289 2.4×	115	2.5k
Zhiliang Wang China	24	322 0.5×	103 0.5×	397 2.0×	74 0.5×	24 0.2×	176	2.3k
Nasir Ahmad Pakistan	13	322 0.5×	90 0.4×	246 1.3×	123 0.8×	60 0.5×	60	1.1k
Yo‐Ping Huang Taiwan	21	318 0.5×	50 0.2×	258 1.3×	80 0.5×	42 0.3×	156	1.6k
Eftim Zdravevski North Macedonia	24	362 0.6×	81 0.4×	537 2.8×	129 0.8×	36 0.3×	129	2.0k
Yudong Tao United States	13	622 0.9×	86 0.4×	385 2.0×	111 0.7×	75 0.6×	50	1.5k
Md Ekrim Hossin Malaysia	5	681 1.0×	82 0.4×	238 1.2×	152 1.0×	54 0.5×	18	1.9k
Rajib Rana Australia	22	647 1.0×	107 0.5×	229 1.2×	292 1.9×	41 0.3×	51	2.0k

Countries citing papers authored by Guanjin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Guanjin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanjin Wang

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

Raza, Rehan, Guanjin Wang, Kok Wai Wong, Hamid Laga, & Marco Fisichella. (2025). ITL-LIME: Instance-Based Transfer Learning for Enhancing Local Explanations in Low-Resource Data Settings. 2482–2492.

Raza, Rehan, Guanjin Wang, Hamid Laga, Kok Wai Wong, & Wolfgang Nejdl. (2025). TransLIME: Towards transfer explainability to explain black-box models on tabular datasets. Information Sciences. 730. 122891–122891. 1 indexed citations

Wang, Guanjin, et al.. (2025). Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach. Journal of Medical Internet Research. 27. e68030–e68030. 1 indexed citations

Zhang, Wei, Zhaohong Deng, Guanjin Wang, & Kup‐Sze Choi. (2025). Fuzzy Rule-Based Differentiable Representation Learning. IEEE Transactions on Neural Networks and Learning Systems. 37(2). 603–616.

Laga, Hamid, et al.. (2025). Dynamic Neural Surfaces for Elastic 4D Shape Representation and Analysis. UWA Profiles and Research Repository (University of Western Australia). 21783–21792.

Wang, Guanjin, et al.. (2025). An Interpretable Ensemble Fuzzy Classifier for Smartphone Sensor-Based Human Activity Classification. IEEE Transactions on Industrial Informatics. 21(6). 4935–4946. 2 indexed citations

Zhang, Yuanpeng, Guanjin Wang, Ta Zhou, et al.. (2024). Deep Reconciled and Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability, and Theory. IEEE Transactions on Fuzzy Systems. 32(11). 6185–6198. 6 indexed citations

Wang, Guanjin, et al.. (2024). Codesigning a Clinical Prediction Model for Aboriginal Perinatal Mental Health Using Glassbox AI and Aboriginal Wisdom and Lived Experience. Australasian Journal of Paramedicine. 318. 196–197. 1 indexed citations

Deng, Zhaohong, Wei Zhang, Chenxi Luo, et al.. (2024). Pseudolabel Enhanced Multiview Deep Concept Factorization Fuzzy Clustering. IEEE Transactions on Fuzzy Systems. 32(9). 5334–5347. 2 indexed citations

10.

Wang, Guanjin, et al.. (2023). Improved Training of GMM-Based TSK Fuzzy System from Stability Perspective. 5. 62–70.

11.

Wong, Kok Wai, et al.. (2023). Policy gradient empowered LSTM with dynamic skips for irregular time series data. Applied Soft Computing. 142. 110314–110314. 14 indexed citations

12.

Kwok, Stephen Wai Hang, et al.. (2023). A deep multi-view imbalanced learning approach for identifying informative COVID-19 tweets from social media. Computers in Biology and Medicine. 164. 107232–107232. 1 indexed citations

13.

Kwok, Stephen Wai Hang, Guanjin Wang, Ferdous Sohel, et al.. (2023). An artificial intelligence approach for predicting death or organ failure after hospitalization for COVID-19: development of a novel risk prediction tool and comparisons with ISARIC-4C, CURB-65, qSOFA, and MEWS scoring systems. Respiratory Research. 24(1). 79–79. 5 indexed citations

14.

Wong, Kok Wai, et al.. (2022). Cyclic Gate Recurrent Neural Networks for Time Series Data with Missing Values. Neural Processing Letters. 55(2). 1527–1554. 17 indexed citations

15.

Kwok, Stephen Wai Hang, et al.. (2021). Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis. Journal of Medical Internet Research. 23(5). e26953–e26953. 137 indexed citations

16.

Chiu, Peter Ka‐Fung, Xiao Shen, Guanjin Wang, et al.. (2021). Enhancement of prostate cancer diagnosis by machine learning techniques: an algorithm development and validation study. Prostate Cancer and Prostatic Diseases. 25(4). 672–676. 40 indexed citations

17.

Shen, Xiao, Guanjin Wang, Rick Yiu Cho Kwan, & Kup‐Sze Choi. (2020). Using Dual Neural Network Architecture to Detect the Risk of Dementia With Community Health Data: Algorithm Development and Validation Study. JMIR Medical Informatics. 8(8). e19870–e19870. 8 indexed citations

18.

Chen, Long, Hai Wang, Guanjin Wang, et al.. (2020). Driver Fatigue Detection via Differential Evolution Extreme Learning Machine Technique. Electronics. 9(11). 1850–1850. 23 indexed citations

19.

Wang, Guanjin, Zhaohong Deng, & Kup‐Sze Choi. (2016). Detection of epilepsy with Electroencephalogram using rule-based classifiers. Neurocomputing. 228. 283–290. 44 indexed citations

20.

Wang, Guanjin, Huigang Xiao, Hui Li, & Xinchun Guan. (2013). A scouring sensor by using the electrical properties of carbon nanotube-filled cement-based composite. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8692. 869239–869239. 5 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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