Zheng Jing

728 total citations
9 papers, 230 citations indexed

About

Zheng Jing is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Zheng Jing has authored 9 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 2 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Zheng Jing's work include Neuroscience and Music Perception (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Image and Signal Denoising Methods (1 paper). Zheng Jing is often cited by papers focused on Neuroscience and Music Perception (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Image and Signal Denoising Methods (1 paper). Zheng Jing collaborates with scholars based in China and United States. Zheng Jing's co-authors include Kumardeep Chaudhary, Sijia Huang, Lana X. Garmire, Olivier Poirion, Qi Li, Ye Li, Yunpeng Cai, Denan Lin, Zhong Ren and Yongsheng Wu and has published in prestigious journals such as Bioinformatics, Journal of Environmental Management and Frontiers in Physiology.

In The Last Decade

Zheng Jing

6 papers receiving 225 citations

Peers

Countries citing papers authored by Zheng Jing

Since Specialization

Citations

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

Fields of papers citing papers by Zheng Jing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Jing. A scholar is included among the top collaborators of Zheng Jing 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 Zheng Jing. Zheng Jing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	Terahertz image super-resolution restoration using a hybrid-Transformer-based generative adversarial network 2025 ·Optics and Lasers in Engineering ·Heng Wu, Zheng Jing, (unknown), Huapan Xiao, Shaojuan Luo	0
2	Psychophysiological effects of music on sadness in participants with and without depressive symptoms 2025 ·BMC Complementary Medicine and Therapies ·Xuanyi Wang, (unknown), (unknown), (unknown), Zheng Jing, Hang Chen, Shulin Chen	1
3	An emotion recognition method based on frequency-domain features of PPG 2025 ·Frontiers in Physiology ·(unknown), Xuanyi Wang, Yifei Xu, (unknown), Zheng Jing, Shulin Chen, (unknown)	0
4	Birdsongs and audio‐guided mindful breathing: Comparable sadness‐reducing effects in the lab 2025 ·Applied Psychology Health and Well-Being ·Xuanyi Wang, Tian Lu, (unknown), Zheng Jing, (unknown), Shulin Chen	0
5	Microplastic pollution differences in freshwater river according to stream order: Insights from spatial distribution, annual load, and ecological assessment 2024 ·Journal of Environmental Management ·(unknown), (unknown), (unknown), Bowen Li, (unknown), (unknown), Ruijuan Liu, Bin Tang, Xiao Yan, Zheng Jing	2
6	Two-stage Cox-nnet: biologically interpretable neural-network model for prognosis prediction and its application in liver cancer survival using histopathology and transcriptomic data 2021 ·NAR Genomics and Bioinformatics ·(unknown), Zheng Jing, Bing He, Noshad Hosseini, Maria Westerhoff, Eun-Young Choi, Lana X. Garmire	19
7	DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data 2021 ·Genome Medicine ·Olivier Poirion, Zheng Jing, Kumardeep Chaudhary, Sijia Huang, Lana X. Garmire	157
8	Cox-nnet v2.0: improved neural-network-based survival prediction extended to large-scale EMR data 2021 ·Bioinformatics ·Di Wang, Zheng Jing, Kevin He, Lana X. Garmire	7
9	Time series analysis of weekly influenza-like illness rate using a one-year period of factors in random forest regression 2017 ·BioScience Trends ·Hongyan Wu, Yunpeng Cai, Yongsheng Wu, Zhong Ren, Qi Li, Zheng Jing, Denan Lin, Ye Li	44

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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