Harry Zhang

2.4k total citations · 1 hit paper
29 papers, 1.4k citations indexed

About

Harry Zhang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Harry Zhang has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Harry Zhang's work include Bayesian Modeling and Causal Inference (8 papers), Data Mining Algorithms and Applications (7 papers) and Machine Learning and Data Classification (6 papers). Harry Zhang is often cited by papers focused on Bayesian Modeling and Causal Inference (8 papers), Data Mining Algorithms and Applications (7 papers) and Machine Learning and Data Classification (6 papers). Harry Zhang collaborates with scholars based in Canada, United States and China. Harry Zhang's co-authors include Su Jiang, Zhihua Cai, Liangxiao Jiang, Dianhong Wang, Evanthia Dimara, Melanie Tory, Steven Franconeri, Xiaobo Liu, Yuanyuan Guo and Guangjun Wang and has published in prestigious journals such as Physical Review B, The American Journal of Cardiology and Expert Systems with Applications.

In The Last Decade

Harry Zhang

28 papers receiving 1.3k citations

Hit Papers

align trajectories sort by overperformance

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.

The Optimality of Naive Bayes.

2004 938 citations Harry Zhang The Florida AI Research Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Harry Zhang Canada	13	745	279	223	135	130	29	1.4k
Ana Carolina Lorena Brazil	25	995 1.3×	266 1.0×	307 1.4×	227 1.7×	90 0.7×	117	1.9k
Dymitr Ruta United Arab Emirates	16	656 0.9×	244 0.9×	324 1.5×	148 1.1×	140 1.1×	61	1.6k
Salem Alelyani Saudi Arabia	18	743 1.0×	248 0.9×	272 1.2×	83 0.6×	155 1.2×	35	1.7k
Sarah Jane Delany Ireland	16	931 1.2×	449 1.6×	176 0.8×	196 1.5×	248 1.9×	59	1.7k
Hasan Bulut Türkiye	15	872 1.2×	344 1.2×	165 0.7×	79 0.6×	299 2.3×	57	1.5k
Ninghao Liu United States	19	1.4k 1.9×	365 1.3×	253 1.1×	147 1.1×	150 1.2×	71	2.2k
Andreas Stafylopatis Greece	20	747 1.0×	203 0.7×	335 1.5×	75 0.6×	121 0.9×	125	1.4k
Debo Cheng China	14	708 1.0×	188 0.7×	398 1.8×	95 0.7×	118 0.9×	53	1.5k
Yun Li China	17	659 0.9×	197 0.7×	326 1.5×	166 1.2×	179 1.4×	106	1.4k

Countries citing papers authored by Harry Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Harry Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harry Zhang

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

Guan, Yunguo, et al.. (2024). A Communication-efficient Conjunctive Query Scheme under Local Differential Privacy. 31–36.

Zhang, Harry, et al.. (2024). DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification. 3584–3593. 8 indexed citations

Guan, Yunguo, et al.. (2024). An Efficient Heap Tree-Based Range Query Scheme Under Local Differential Privacy. IEEE Internet of Things Journal. 11(11). 20648–20659. 2 indexed citations

Guan, Yunguo, et al.. (2023). ERQ: An Efficient Range Query Scheme Under Local Differential Privacy. 1 indexed citations

Guan, Yunguo, et al.. (2023). An Efficient Bloom Filter-based Range Query Scheme Under Local Differential Privacy. 1 indexed citations

Guan, Yunguo, et al.. (2023). An Efficient and Privacy-Preserving Outsourced Heavy Hitter Query Scheme with LDP Technique. 1–6. 1 indexed citations

Yang, Tien-Ju, et al.. (2022). Enabling On-Device Training of Speech Recognition Models With Federated Dropout. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8757–8761. 7 indexed citations

Zhang, Harry, et al.. (2016). Improving Deep Belief Networks via Delta Rule for Sentiment Classification. 1. 410–414. 9 indexed citations

Liu, Xiaobo, Guangjun Wang, Zhihua Cai, & Harry Zhang. (2015). A MultiBoosting Based Transfer Learning Algorithm. Journal of Advanced Computational Intelligence and Intelligent Informatics. 19(3). 381–388. 5 indexed citations

10.

Jiang, Liangxiao, Chaoqun Li, Zhihua Cai, & Harry Zhang. (2013). Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning. 512–517. 14 indexed citations

11.

Ellis, David S., Jungho Kim, Harry Zhang, et al.. (2011). Electronic structure of doped lanthanum cuprates studied with resonant inelastic x-ray scattering. Physical Review B. 83(7). 9 indexed citations

12.

Jiang, Liangxiao, Harry Zhang, Zhihua Cai, & Dianhong Wang. (2011). Weighted average of one-dependence estimators†. Journal of Experimental & Theoretical Artificial Intelligence. 24(2). 219–230. 73 indexed citations

13.

Li, Chu Min, et al.. (2008). A Switching Criterion for Intensification and Diversification in Local Search for SAT12. 4(2-4). 219–237. 8 indexed citations

14.

Jiang, Liangxiao, Dianhong Wang, Harry Zhang, Zhihua Cai, & Bo Huang. (2008). USING INSTANCE CLONING TO IMPROVE NAIVE BAYES FOR RANKING. International Journal of Pattern Recognition and Artificial Intelligence. 22(6). 1121–1140. 14 indexed citations

15.

Zhang, Harry, et al.. (2007). A Semi-Automatic Data Annotation Tool for Driving Simulator Data Reduction. The American Journal of Cardiology. 96(5A). 11F–23F. 3 indexed citations

16.

Zhang, Keshu, Kari Torkkola, Christopher S. Schreiner, et al.. (2007). A Context Aware Automatic Traffic Notification System for Cell Phones. 214 231. 48–48. 1 indexed citations

17.

Jiang, Su & Harry Zhang. (2005). Representing conditional independence using decision trees. National Conference on Artificial Intelligence. 874–879. 8 indexed citations

18.

Zhang, Harry, Liangxiao Jiang, & Su Jiang. (2005). Augmenting naive Bayes for ranking. 1020–1027. 19 indexed citations

19.

Zhang, Harry & Su Jiang. (2005). Learning probabilistic decision trees for AUC. Pattern Recognition Letters. 27(8). 892–899. 11 indexed citations

20.

Zhang, Harry. (2004). The Optimality of Naive Bayes.. The Florida AI Research Society. 562–567. 938 indexed citations breakdown →

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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