Hong Zhou

1.4k citations
104 papers · 695 · h-index 14

Impact in

Papers in

Hong Zhou

83 papers receiving 674 citations

Peers

Hong Zhou
Comparison fields: 5 of 169
  • Health Informatics 20
  • Orthodontics 17
  • Media Technology 33
  • Computer Science Applications 20
  • Development 13
Replace Anastasia A. Anashkina with:
Anastasia A. Anashkina Russia
Bahareh Karimi Iran
Young-Ju Park South Korea
Nosayba Al‐Azzam Jordan
Andrew O. Brightman United States
Yungang Luo China
Anisha Gupta United States
Ana Ana Indonesia
Nezih Hekim Türkiye
Fei Fan China
Hong Zhou relative to Anastasia A. Anashkina Russia Anastasia A. Anashkina's profile →
Citations per field
00.5×10×
Anastasia A. Anashkina · 1×
Citations per year

Countries citing papers authored by Hong Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Hong Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hong Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hong Zhou Line = papers co-authored together Hong Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202248
2 202246
3 202328
4 202227
5 202320
6 202319
7 202218
8 202418
9 202217
10 202215
11 202114
12 202214
13 202214
14 201513
15 202213
16 202413
17 202213
18 202312
19 202312
20 202212

About Hong Zhou

Hong Zhou is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Developmental and Educational Psychology and Pulmonary and Respiratory Medicine, having authored 104 papers that have together received 695 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), International Development and Aid (3 papers), Medical Imaging and Analysis (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Online and Blended Learning (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Health Informatics (20 citations), Orthodontics (17 citations), Media Technology (33 citations), Computer Science Applications (20 citations) and Development (13 citations). Hong Zhou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wei Chen, Hui Kong, Wei Xiang, Xiaojuan Zhang, Yi Liu, Wen Huang, Zhewei Ye, Pengran Liu, Yi Xie and Xiaoning Zeng. Their work appears in journals such as Online Learning, Asia Europe Journal, Heliyon, Investigative Ophthalmology & Visual Science and Frontiers in Endocrinology.

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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