Zhengchao Dong

5.5k total citations · 2 hit papers
82 papers, 4.0k citations indexed

About

Zhengchao Dong is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhengchao Dong has authored 82 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Neurology and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhengchao Dong's work include Brain Tumor Detection and Classification (26 papers), Advanced MRI Techniques and Applications (23 papers) and Machine Learning and ELM (9 papers). Zhengchao Dong is often cited by papers focused on Brain Tumor Detection and Classification (26 papers), Advanced MRI Techniques and Applications (23 papers) and Machine Learning and ELM (9 papers). Zhengchao Dong collaborates with scholars based in United States, China and United Kingdom. Zhengchao Dong's co-authors include Yudong Zhang, Shuihua Wang‎, Genlin Ji, Preetha Phillips, Jiquan Yang, Bradley S. Peterson, Jiquan Yang, Lenan Wu, Sidan Du and Ti‐Fei Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Biological Psychiatry.

In The Last Decade

Zhengchao Dong

80 papers receiving 3.8k 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.

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

2020 313 citations Yudong Zhang, Zhengchao Dong et al. profile →
Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation

2017 285 citations Yudong Zhang, Zhengchao Dong et al. Multimedia Tools and Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhengchao Dong United States	33	1.5k	1.3k	1.1k	797	481	82	4.0k
Preetha Phillips United States	34	1.3k 0.8×	1.4k 1.0×	1.3k 1.2×	500 0.6×	456 0.9×	58	4.0k
Javier Ramı́rez Spain	44	1.6k 1.1×	1.7k 1.3×	2.0k 1.9×	905 1.1×	468 1.0×	263	6.6k
Wanqing Wu China	35	608 0.4×	794 0.6×	734 0.7×	432 0.5×	696 1.4×	164	3.8k
Luping Zhou Australia	35	843 0.5×	2.0k 1.5×	1.3k 1.2×	1.4k 1.7×	491 1.0×	203	5.7k
Kuanquan Wang China	38	216 0.1×	2.3k 1.7×	627 0.6×	485 0.6×	920 1.9×	301	6.2k
Friedhelm Schwenker Germany	30	257 0.2×	828 0.6×	1.4k 1.3×	375 0.5×	298 0.6×	189	3.2k
Xiangrong Zhang China	53	425 0.3×	3.2k 2.4×	1.3k 1.2×	522 0.7×	524 1.1×	401	9.4k
Vikas Singh United States	26	267 0.2×	995 0.7×	544 0.5×	440 0.6×	146 0.3×	120	2.5k
Quansen Sun China	37	236 0.2×	3.8k 2.8×	1.3k 1.2×	224 0.3×	257 0.5×	266	5.0k
Guangming Lu China	37	203 0.1×	3.1k 2.3×	1.1k 1.0×	582 0.7×	602 1.3×	198	5.4k

Countries citing papers authored by Zhengchao Dong

Since Specialization

Citations

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

Fields of papers citing papers by Zhengchao Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengchao Dong

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

20 of 20 papers shown

Zhang, Yudong, Zhengchao Dong, Shuai Li, & Carlo Cattani. (2023). Deep learning methods for biomedical information analysis. Journal of Ambient Intelligence and Humanized Computing. 14(5). 5293–5296. 2 indexed citations

Talati, Ardesheer, Milenna T. van Dijk, Xuejun Hao, et al.. (2022). Putamen Structure and Function in Familial Risk for Depression: A Multimodal Imaging Study. Biological Psychiatry. 92(12). 932–941. 27 indexed citations

Dong, Zhengchao, Michael F. Grunebaum, Martin J. Lan, et al.. (2021). Relationship of Brain Glutamate Response to D-Cycloserine and Lurasidone to Antidepressant Response in Bipolar Depression: A Pilot Study. Frontiers in Psychiatry. 12. 653026–653026. 8 indexed citations

Milak, Matthew S., Zhengchao Dong, Lawrence S. Kegeles, et al.. (2020). Assessment of Relationship of Ketamine Dose With Magnetic Resonance Spectroscopy of Glx and GABA Responses in Adults With Major Depression. JAMA Network Open. 3(8). e2013211–e2013211. 43 indexed citations

Wang‎, Shuihua, Ming Yang, Jianwu Li, et al.. (2017). Texture Analysis Method Based on Fractional Fourier Entropy and Fitness-scaling Adaptive Genetic Algorithm for Detecting Left-sided and Right-sided Sensorineural Hearing Loss. Fundamenta Informaticae. 151(1-4). 505–521. 42 indexed citations

Zhang, Yudong, Zhengchao Dong, Xianqing Chen, et al.. (2017). Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation. Multimedia Tools and Applications. 78(3). 3613–3632. 285 indexed citations breakdown →

Zhang, Yudong, Genlin Ji, Jiquan Yang, et al.. (2016). Preliminary research on abnormal brain detection by wavelet-energy and quantum- behaved PSO. Technology and Health Care. 24(2_suppl). S641–9. 38 indexed citations

Wang‎, Shuihua, Yi Chen, Yudong Zhang, et al.. (2015). 3D-DWT Improves Prediction of AD and MCI. Advances in computer science research. 2 indexed citations

Zhang, Yudong, et al.. (2015). PATHOLOGICAL BRAIN DETECTION IN MAGNETIC RESONANCE IMAGING SCANNING BY WAVELET ENTROPY AND HYBRIDIZATION OF BIOGEOGRAPHY-BASED OPTIMIZATION AND PARTICLE SWARM OPTIMIZATION. Electromagnetic waves. 152. 41–58. 86 indexed citations

10.

Zhang, Yudong, Zhengchao Dong, Preetha Phillips, et al.. (2015). Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning. Frontiers in Computational Neuroscience. 9. 66–66. 215 indexed citations

11.

Dong, Zhengchao, et al.. (2015). MR image features predicting hemorrhagic transformation in acute cerebral infarction: a multimodal study. Neuroradiology. 57(11). 1145–1152. 13 indexed citations

12.

Jarskog, L. Fredrik, Zhengchao Dong, Alayar Kangarlu, et al.. (2013). Effects of Davunetide on N-acetylaspartate and Choline in Dorsolateral Prefrontal Cortex in Patients with Schizophrenia. Neuropsychopharmacology. 38(7). 1245–1252. 51 indexed citations

13.

Zhang, Yudong, Shuihua Wang‎, Genlin Ji, & Zhengchao Dong. (2013). An MR Brain Images Classifier System via Particle Swarm Optimization and Kernel Support Vector Machine. The Scientific World JOURNAL. 2013(1). 130134–130134. 115 indexed citations

14.

Hao, Xuejun, Dongrong Xu, Ravi Bansal, et al.. (2011). Multimodal magnetic resonance imaging: The coordinated use of multiple, mutually informative probes to understand brain structure and function. Human Brain Mapping. 34(2). 253–271. 51 indexed citations

15.

Dong, Yongfeng, et al.. (2009). Research on Model and Its Solving Algorithm for Transit Scheduling Problem. 9. 836–839.

16.

Dong, Zhengchao & Bradley S. Peterson. (2009). Spectral resolution amelioration by deconvolution (SPREAD) in MR spectroscopic imaging. Journal of Magnetic Resonance Imaging. 29(6). 1395–1405. 15 indexed citations

17.

Liu, Feng, Marianne Garland, Yunsuo Duan, et al.. (2007). Study of the development of fetal baboon brain using magnetic resonance imaging at 3 Tesla. NeuroImage. 40(1). 148–159. 25 indexed citations

18.

Cui, Min-Hui, et al.. (2007). Cross contamination of intramyocellular lipid signals through loss of bulk magnetic susceptibility effect differences in human muscle using ¹H-MRSI at 4 T. Journal of Applied Physiology. 103(4). 1290–1298. 9 indexed citations

19.

Dong, Zhengchao & Bradley S. Peterson. (2007). The rapid and automatic combination of proton MRSI data using multi-channel coils without water suppression. Magnetic Resonance Imaging. 25(8). 1148–1154. 36 indexed citations

20.

Dong, Zhengchao & Jonghee Hwang. (2006). Lipid signal extraction by SLIM: Application to ¹H MR spectroscopic imaging of human calf muscles. Magnetic Resonance in Medicine. 55(6). 1447–1453. 15 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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