Dongdong Zhang

1.7k total citations
60 papers, 936 citations indexed

About

Dongdong Zhang is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Dongdong Zhang has authored 60 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Cardiology and Cardiovascular Medicine and 13 papers in Artificial Intelligence. Recurrent topics in Dongdong Zhang's work include Video Coding and Compression Technologies (8 papers), Advanced Vision and Imaging (8 papers) and Cardiovascular Disease and Adiposity (6 papers). Dongdong Zhang is often cited by papers focused on Video Coding and Compression Technologies (8 papers), Advanced Vision and Imaging (8 papers) and Cardiovascular Disease and Adiposity (6 papers). Dongdong Zhang collaborates with scholars based in China, United States and United Kingdom. Dongdong Zhang's co-authors include Ping Zhang, Xiaohui Yuan, Changchang Yin, Junfeng Zhao, Chiyang Liu, Minghui Yang, Jian‐qiang Wang, Di Zang, Yongcheng Ren and Ming Zhang and has published in prestigious journals such as Scientific Reports, Optics Letters and Aquaculture.

In The Last Decade

Dongdong Zhang

58 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongdong Zhang China 16 242 219 102 87 86 60 936
Bo Xu China 26 203 0.8× 499 2.3× 91 0.9× 35 0.4× 89 1.0× 83 2.3k
Matthew A. Reyna United States 14 530 2.2× 355 1.6× 43 0.4× 51 0.6× 230 2.7× 30 1.3k
B. Michael Kelm Germany 13 67 0.3× 200 0.9× 132 1.3× 19 0.2× 135 1.6× 19 1.3k
Inga Strümke Norway 9 96 0.4× 271 1.2× 102 1.0× 11 0.1× 45 0.5× 35 892
José Roberto Ayala Solares United Kingdom 9 147 0.6× 361 1.6× 22 0.2× 56 0.6× 92 1.1× 13 754
Aris Perperoglou United Kingdom 17 111 0.5× 101 0.5× 45 0.4× 42 0.5× 73 0.8× 37 934
Vajira Thambawita Norway 10 91 0.4× 247 1.1× 134 1.3× 9 0.1× 40 0.5× 33 792
Ljubomir Buturović United States 14 34 0.1× 173 0.8× 57 0.6× 46 0.5× 257 3.0× 33 1.3k
A. Belardinelli Italy 19 188 0.8× 27 0.1× 174 1.7× 42 0.5× 71 0.8× 51 1.2k
Rima Arnaout United States 15 705 2.9× 252 1.2× 42 0.4× 61 0.7× 602 7.0× 41 2.1k

Countries citing papers authored by Dongdong Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dongdong Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongdong Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Dongdong Zhang. A scholar is included among the top collaborators of Dongdong 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 Dongdong Zhang. Dongdong 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
1.
Zhang, Dongdong, et al.. (2025). Deciphering the Withania somnifera alkaloids potential for cure of neurodegenerative disease: an in-silico study. AMB Express. 15(1). 29–29. 2 indexed citations
2.
Hu, Xiaoqin, Dongdong Zhang, Bowen Qiu, et al.. (2023). The predictive value of left atrium epicardial adipose tissue on recurrence after catheter ablation in patients with different types of atrial fibrillation. International Journal of Cardiology. 379. 33–39. 10 indexed citations
3.
Zhang, Meng, et al.. (2023). An Instance Segmentation Model Based on Deep Learning for Intelligent Diagnosis of Uterine Myomas in MRI. Diagnostics. 13(9). 1525–1525. 9 indexed citations
4.
Zhang, Dongdong, et al.. (2021). Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram. iScience. 24(4). 102373–102373. 119 indexed citations
5.
Guan, Yuanfang, et al.. (2021). A survival model generalized to regression learning algorithms. Nature Computational Science. 1(6). 433–440. 8 indexed citations
6.
Zhang, Dongdong, Changchang Yin, Katherine M. Hunold, et al.. (2021). An interpretable deep-learning model for early prediction of sepsis in the emergency department. Patterns. 2(2). 100196–100196. 36 indexed citations
7.
Li, Quanman, Ranran Qie, Pei Qin, et al.. (2020). Association of weight-adjusted-waist index with incident hypertension: The Rural Chinese Cohort Study. Nutrition Metabolism and Cardiovascular Diseases. 30(10). 1732–1741. 85 indexed citations
8.
Fu, Yuhua, Jingya Xu, Zhenshuang Tang, et al.. (2020). A gene prioritization method based on a swine multi-omics knowledgebase and a deep learning model. Communications Biology. 3(1). 502–502. 46 indexed citations
9.
Zhang, Dongdong, et al.. (2019). Cell Counting Algorithm Based on YOLOv3 and Image Density Estimation. 920–924. 14 indexed citations
10.
Zhang, Dongdong, et al.. (2019). Intractable & Rare Diseases Research. Intractable & Rare Diseases Research. 14 indexed citations
11.
Zhang, Ping, et al.. (2019). A Systematic Framework for Drug Repurposing based on Literature Mining. 939–942. 3 indexed citations
12.
Zhao, Yang, Yu Liu, Haohang Sun, et al.. (2018). Association of long-term dynamic change in body weight and incident hypertension: The Rural Chinese Cohort Study. Nutrition. 54. 76–82. 17 indexed citations
13.
Huang, Fei, et al.. (2018). Leaf Shape Variation and Its Correlation to Phenotypic Traits of Soybean in Northeast China. 50. 40–45. 2 indexed citations
14.
Shi, Yuanyuan, Wen Zhou, Xuejiao Liu, et al.. (2017). Resting heart rate and the risk of hypertension and heart failure. Journal of Hypertension. 36(5). 995–1004. 19 indexed citations
15.
Zang, Di, et al.. (2016). Traffic sign detection based on cascaded convolutional neural networks. 201–206. 25 indexed citations
16.
Zhang, Kaihui, Fengling Song, Dongdong Zhang, et al.. (2016). Chromosome r(3)(p25.3q29) in a Patient with Developmental Delay and Congenital Heart Defects: A Case Report and a Brief Literature Review. Cytogenetic and Genome Research. 148(1). 6–13. 14 indexed citations
17.
Zhang, Yaying, et al.. (2013). A Cloud Task Scheduling Algorithm Based on Users' Satisfaction. 71. 1–5. 4 indexed citations
18.
Zang, Di, Jie Li, & Dongdong Zhang. (2011). Robust visual correspondence computation using monogenic curvature phase based mutual information. Optics Letters. 37(1). 10–10. 4 indexed citations
19.
Feng, Fujuan, et al.. (2009). Application of SRAP in the genetic diversity of Pinus koraiensis of different provenances. AFRICAN JOURNAL OF BIOTECHNOLOGY. 8(6). 1000–1008. 37 indexed citations
20.
Zhang, Dongdong, Jizheng Xu, Feng Wu, Wenjun Zhang, & Hongkai Xiong. (2005). Mode-based temporal filtering for in-band wavelet video coding with spatial scalability. 38–38. 2 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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Breakdown of academic impact, for papers by Bo Xu Breakdown of academic impact, for papers by Matthew A. Reyna Breakdown of academic impact, for papers by B. Michael Kelm Breakdown of academic impact, for papers by Inga Strümke Breakdown of academic impact, for papers by José Roberto Ayala Solares Breakdown of academic impact, for papers by Aris Perperoglou Breakdown of academic impact, for papers by Vajira Thambawita Breakdown of academic impact, for papers by Ljubomir Buturović Breakdown of academic impact, for papers by A. Belardinelli Breakdown of academic impact, for papers by Rima Arnaout
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