Harry Zhang

2.4k citations
29 papers · 1.4k indexed · 1 hit paper · h-index 13
Topics
Bayesian Modeling and Causal Inference (8 papers)Data Mining Algorithms and Applications (7 papers)Machine Learning and Data Classification (6 papers)
Partner nations
CanadaUnited StatesChina

In The Last Decade

Harry Zhang

28 papers receiving 1.3k citations

Hit Papers

The Optimality of Naive Bayes.20042026201120182004250500750

Peers

Harry Zhang
Comparison fields: 5 of 164
  • Artificial Intelligence 745
  • Information Systems 279
  • Computer Vision and Pattern Recognition 223
  • Signal Processing 135
  • Computer Networks and Communications 130
Replace Sarah Jane Delany with:
Sarah Jane Delany Ireland
Ana Carolina Lorena Brazil
Jiawei Luo China
Hasan Bulut Türkiye
Karla Brkić Croatia
Samira Pouyanfar United States
Edin Muharemagic United States
Maryam M. Najafabadi United States
Gongbo Zhang United States
Harry Zhang relative to Sarah Jane Delany Ireland Sarah Jane Delany's profile →
Citations per field
00.5×1.5×
Sarah Jane Delany · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 1
4 1
5 1
6 7
7 9
8 5
9 14
10 29
11 9
12 73
13 13
14 8
15 3
16 1
17
Representing conditional independence using decision trees
8
18 19
19 11
20
The Optimality of Naive Bayes.breakdown →
938

About Harry Zhang

Harry Zhang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (8 papers), Data Mining Algorithms and Applications (7 papers) and Machine Learning and Data Classification (6 papers). The work is most often cited by research in Artificial Intelligence (745 citations), Health Information Management (75 citations) and Signal Processing (135 citations). Harry Zhang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Su Jiang, Zhihua Cai, Liangxiao Jiang, Dianhong Wang, Steven Franconeri, Melanie Tory, Evanthia Dimara, Guangjun Wang, Yuanyuan Guo and Xiaobo Liu. Their work appears in journals such as Physical Review B, The American Journal of Cardiology and Expert Systems with Applications.

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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