Zhanhao Zhang

1.0k total citations · 1 hit paper
9 papers, 184 citations indexed

About

Zhanhao Zhang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Zhanhao Zhang has authored 9 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Zhanhao Zhang's work include Advanced Vision and Imaging (3 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Zhanhao Zhang is often cited by papers focused on Advanced Vision and Imaging (3 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Zhanhao Zhang collaborates with scholars based in China, Bangladesh and Italy. Zhanhao Zhang's co-authors include Yige Xu, Yiqi Wu, Jingxuan Liu, Yan-Kun Chen, Lingyun Peng, Wei Li, Xin Zhang, Wang Xiang, Mingjun Ma and Xiuyu Zhang and has published in prestigious journals such as IEEE Access, Gene and Remote Sensing.

In The Last Decade

Zhanhao Zhang

7 papers receiving 178 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.

Auto-Encoding Variational Bayes

2024 161 citations Yan-Kun Chen, Jingxuan Liu et al. profile →

Peers

Zhanhao Zhang

AI

CVPR

MB

EEE

CSE

Anastasios N. Angelopoulos United States

Yazhou Tu United States

Matthieu Cord France

Bozhen Hu China

Fanliang Bu China

Shuai Jia China

Jelena Luketina Switzerland

Matthew Berger United States

Pavel Kordík Czechia

Xiaohu Cheng China

Anastasios N. Angelopoulos United States

Zhanhao Zhang

97 ×1.8

AI

28 ×0.9

CVPR

27 ×1.4

MB

19 ×1.1

EEE

24 ×1.7

CSE

Citations per year, relative to Zhanhao Zhang Zhanhao Zhang (= 1×) peers Anastasios N. Angelopoulos

Countries citing papers authored by Zhanhao Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Zhanhao Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanhao Zhang

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

9 of 9 papers shown

1.

Chen, Min, Zhanhao Zhang, Kai Liu, et al.. (2025). Robust Hierarchical Point Matching Between Aerial and Ground Imagery Through Depth Map‐Based Partitioned Attention Aggregation. The Photogrammetric Record. 40(190).

2.

Chen, Xinqiang, et al.. (2025). Microscopic aggregated traffic parameter extraction against complex camera motion interference. Transportation Safety and Environment. 7(4).

3.

Chen, Yan-Kun, Jingxuan Liu, Lingyun Peng, et al.. (2024). Auto-Encoding Variational Bayes. 2(1). 161 indexed citations breakdown →

4.

Chen, Mingyue, et al.. (2023). Whole-exome sequencing in searching for novel variants associated with the development of high altitude pulmonary edema. Gene. 870. 147384–147384. 2 indexed citations

5.

Zhang, Zhanhao. (2023). The transferability of transfer learning model based on ImageNet for medical image classification tasks. Applied and Computational Engineering. 18(1). 143–151. 1 indexed citations

6.

Fang, Tong, Min Chen, Bo Xu, et al.. (2023). Hierarchical Edge-Preserving Dense Matching by Exploiting Reliably Matched Line Segments. Remote Sensing. 15(17). 4311–4311. 1 indexed citations

7.

Ma, Mingjun, et al.. (2023). Graded diagnosis of Helicobacter pylori infection using hyperspectral images of gastric juice. Journal of Biophotonics. 17(1). e202300254–e202300254. 7 indexed citations

8.

Xiang, Wang, et al.. (2022). Grid Load Forecasting Based on Dual Attention BiGRU and DILATE Loss Function. IEEE Access. 10. 64569–64579. 8 indexed citations

9.

Chen, Min, et al.. (2021). Feature-Point Matching for Aerial and Ground Images by Exploiting Line Segment-Based Local-Region Constraints. Photogrammetric Engineering & Remote Sensing. 87(10). 767–780. 4 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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