Hongzhi Wang

10.1k total citations · 3 hit papers
431 papers, 6.3k citations indexed

About

Hongzhi Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Hongzhi Wang has authored 431 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Artificial Intelligence, 89 papers in Computer Vision and Pattern Recognition and 74 papers in Signal Processing. Recurrent topics in Hongzhi Wang's work include Data Management and Algorithms (53 papers), Data Quality and Management (45 papers) and Advanced Database Systems and Queries (39 papers). Hongzhi Wang is often cited by papers focused on Data Management and Algorithms (53 papers), Data Quality and Management (45 papers) and Advanced Database Systems and Queries (39 papers). Hongzhi Wang collaborates with scholars based in China, United States and Australia. Hongzhi Wang's co-authors include Paul A. Yushkevich, John Pluta, Sandhitsu R. Das, Jianzhong Li, Caryne P. Craige, Jung W. Suh, Mohamed Jaward Bah, Mohamed Hammad, Hong Gao and Long Xie 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

Hongzhi Wang

392 papers receiving 6.2k citations

Hit Papers

Multi-Atlas Segmentation with Joint Label Fusion 2012 2026 2016 2021 2012 2014 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongzhi Wang China 35 1.5k 1.4k 714 665 627 431 6.3k
Nianyin Zeng China 43 3.0k 2.0× 2.6k 1.8× 685 1.0× 742 1.1× 435 0.7× 142 9.5k
Jun Wang China 37 2.5k 1.7× 1.9k 1.3× 818 1.1× 815 1.2× 314 0.5× 327 6.5k
Mufti Mahmud United Kingdom 38 1.8k 1.2× 620 0.4× 671 0.9× 993 1.5× 252 0.4× 222 5.6k
Constantinos S. Pattichis Cyprus 43 1.0k 0.7× 1.6k 1.1× 1.1k 1.6× 494 0.7× 271 0.4× 354 6.4k
Jiayu Zhou United States 35 2.4k 1.6× 905 0.6× 333 0.5× 235 0.4× 893 1.4× 237 5.2k
Shuiwang Ji United States 43 3.5k 2.3× 3.1k 2.2× 784 1.1× 414 0.6× 996 1.6× 134 7.4k
Manuel Graña Spain 31 1.6k 1.0× 971 0.7× 629 0.9× 780 1.2× 161 0.3× 304 4.7k
Christian Igel Denmark 36 3.6k 2.4× 2.5k 1.7× 634 0.9× 423 0.6× 277 0.4× 162 7.7k
Lipo Wang Singapore 36 2.2k 1.5× 1.4k 1.0× 733 1.0× 977 1.5× 596 1.0× 185 6.8k
Chih‐Wei Hsu Taiwan 24 1.3k 0.9× 988 0.7× 162 0.2× 454 0.7× 364 0.6× 170 5.5k

Countries citing papers authored by Hongzhi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hongzhi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongzhi Wang

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

All Works

20 of 20 papers shown
1.
Xu, Qingsong, et al.. (2025). Relevant subspace search for outlier detection on massive data. Expert Systems with Applications. 296. 128870–128870.
2.
Wang, Jialiang, Xiaopeng Zhang, Jian Qi, et al.. (2025). Tumor Mutation Signature Reveals the Risk Factors of Lung Adenocarcinoma with EGFR or KRAS Mutation. Cancer Control. 32. 2925725411–2925725411. 1 indexed citations
3.
Liu, Jin, Yanfei Zhou, Hongzhi Wang, Lizhuang Yang, & Hai Li. (2025). Rank labels scaffold social cognitive maps in the hippocampal-entorhinal system. NeuroImage. 317. 121366–121366.
4.
Wang, Jialiang, Xin Han, Jingjing Tong, et al.. (2025). Deciphering the molecular fingerprint of haemoglobin in lung cancer: A new strategy for early diagnosis using two-trace two-dimensional correlation near infrared spectroscopy (2T2D-NIRS) and machine learning techniques. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 337. 126107–126107. 1 indexed citations
5.
Wang, Hongzhi, et al.. (2024). GFedKG: GNN-based federated embedding model for knowledge graph completion. Knowledge-Based Systems. 301. 112290–112290. 5 indexed citations
6.
Wang, Chunnan, et al.. (2024). Automatic time series forecasting model design based on pruning. Applied Soft Computing. 162. 111804–111804.
7.
Ding, Linfeng, et al.. (2024). Recycling of arsenic residue to basalt fiber via vitrification. Ceramics International. 50(19). 36622–36630. 4 indexed citations
9.
Wang, Hongzhi, et al.. (2024). DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 17051–17059. 1 indexed citations
10.
Ding, Xiaoou, et al.. (2024). Efficient Relaxed Functional Dependency Discovery with Minimal Set Cover. 3519–3531. 3 indexed citations
11.
Wang, Hongzhi, et al.. (2024). FedST: secure federated shapelet transformation for time series classification. The VLDB Journal. 33(5). 1617–1641. 2 indexed citations
12.
Yang, Lizhuang, et al.. (2024). Working Memory Guides Action Valuation in Model-based Decision-making Strategy. Journal of Cognitive Neuroscience. 37(1). 86–96. 2 indexed citations
13.
Wang, Hongzhi, et al.. (2023). HyGGE: Hyperbolic graph attention network for reasoning over knowledge graphs. Information Sciences. 630. 190–205. 30 indexed citations
14.
Jiang, Nan, et al.. (2023). Time series compression based on reinforcement learning. Information Sciences. 648. 119490–119490.
15.
Zhang, Yani, et al.. (2023). The identification of a two-gene prognostic model based on cisplatin resistance-related ceRNA network in small cell lung cancer. BMC Medical Genomics. 16(1). 103–103. 3 indexed citations
16.
Wang, Hongzhi, et al.. (2021). Electromagnetic Design and Mechanical Behavior Analysis of an 850 MHz All REBCO Nuclear Magnetic Resonance Magnet. IEEE Transactions on Applied Superconductivity. 31(3). 1–9. 6 indexed citations
17.
18.
Bah, Mohamed Jaward, Hongzhi Wang, Mohamed Hammad, Furkh Zeshan, & Hanan Aljuaid. (2019). An Effective Minimal Probing Approach With Micro-Cluster for Distance-Based Outlier Detection in Data Streams. IEEE Access. 7. 154922–154934. 5 indexed citations
19.
Xie, Long, Laura E.M. Wisse, Sandhitsu R. Das, et al.. (2016). Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI. Lecture notes in computer science. 9901. 564–571. 27 indexed citations
20.
Wang, Wei, Haifeng Jiang, Hongzhi Wang, et al.. (2005). Efficient processing of XML path queries using the disk-based F&B Index. Very Large Data Bases. 145–156. 38 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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