Jing Meng

1.1k total citations
77 papers, 712 citations indexed

About

Jing Meng is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Jing Meng has authored 77 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Biomedical Engineering, 35 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Ophthalmology. Recurrent topics in Jing Meng's work include Photoacoustic and Ultrasonic Imaging (26 papers), Retinal Imaging and Analysis (13 papers) and Optical Imaging and Spectroscopy Techniques (13 papers). Jing Meng is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (26 papers), Retinal Imaging and Analysis (13 papers) and Optical Imaging and Spectroscopy Techniques (13 papers). Jing Meng collaborates with scholars based in China, United States and South Korea. Jing Meng's co-authors include Liang Song, Lihong V. Wang, Riqiang Lin, Chulhong Kim, Chengbo Liu, Dong Liang, Seungwan Jeon, Jin S. Lee, Liang Song and Yuanke Zhang and has published in prestigious journals such as Construction and Building Materials, Optics Letters and Optics Express.

In The Last Decade

Jing Meng

64 papers receiving 682 citations

Peers

Jing Meng

RNMI

CVPR

CSE

Svein‐Erik Måsøy Norway

Andrew Alexander Malcolm Singapore

Dan Xia United States

Kim Kiekens Belgium

Frank Welkenhuyzen Belgium

Ryo Nagaoka Japan

Shaoxiong Zhang China

André Voet Belgium

Ye Tan Belgium

Michael Maisl Germany

Svein‐Erik Måsøy Norway

Jing Meng

521 ×1.0

515 ×1.5

RNMI

272 ×1.0

40 ×0.7

CVPR

25 ×0.7

CSE

Citations per year, relative to Jing Meng Jing Meng (= 1×) peers Svein‐Erik Måsøy

Countries citing papers authored by Jing Meng

Since Specialization

Citations

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

Fields of papers citing papers by Jing Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Meng

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

All Works

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20 of 20 papers shown

Meng, Jing. (2025). AVAR-RL: adaptive reinforcement learning approach for personalized English vocabulary acquisition. Discover Artificial Intelligence. 5(1).

Sun, Qingqing, Xiu-Min Li, Qi‐Xin Shang, et al.. (2025). Establishment of a Machine Learning-Based Predictive Model for Klebsiella pneumoniae Liver Abscess. Infection and Drug Resistance. Volume 18. 5097–5108.

Ma, Fei, et al.. (2025). SMFDNet: spatial and multi-frequency domain network for OCT angiography retinal vessel segmentation. The Journal of Supercomputing. 81(4). 1 indexed citations

Ma, Fei, et al.. (2025). Multi-domain fusion network: A novel approach to OCTA image segmentation in diabetic retinopathy. Biomedical Signal Processing and Control. 109. 107945–107945. 1 indexed citations

Zhang, Rui, Yuanke Zhang, Yanfei Guo, et al.. (2025). DSCN-Net: domain-specific contrastive network for unsupervised low-dose CT denoising. Neurocomputing. 651. 130919–130919.

Zhang, Zhaohui, Fei Ma, Hongjuan Liu, et al.. (2025). WS-SAM: self-prompting SAM with wavelet and spatial domain for OCTA retinal vessel segmentation. The Journal of Supercomputing. 81(5).

Guo, Yanfei, et al.. (2025). LECNet: Lesion semantic feature enhancement and complementary networks for diabetic retinopathy grading. Biomedical Signal Processing and Control. 107. 107813–107813. 1 indexed citations

Yu, Bei, Ye Tao, Chaoyang Wang, et al.. (2024). Squaraine dye as a fluorescent probe for highly sensitive detection of pyrophosphate and alkaline phosphatase. Analytical Sciences. 41(3). 289–296.

Gao, Rongkang, et al.. (2024). Influence mechanism of the temporal duration of laser irradiation on photoacoustic technique: a review. Journal of Biomedical Optics. 29(S1). S11530–S11530. 6 indexed citations

10.

Zhang, Hongdong, Ningbo Chen, Fei Ma, et al.. (2024). Simultaneous removal of noise and correction of motion warping in neuron calcium imaging using a pipeline structure of self-supervised deep learning models. Biomedical Optics Express. 15(7). 4300–4300. 1 indexed citations

11.

Meng, Jing, et al.. (2024). High-precision retinal blood vessel segmentation based on a multi-stage and dual-channel deep learning network. Physics in Medicine and Biology. 69(4). 45007–45007. 1 indexed citations

12.

Zhang, Yuanke, Dong Wang, Jing Meng, et al.. (2024). Multi-scale feature aggregation and fusion network with self-supervised multi-level perceptual loss for textures preserving low-dose CT denoising. Physics in Medicine and Biology. 69(10). 105003–105003. 2 indexed citations

13.

Sun, Xiaowen, et al.. (2024). SenticNet and Abstract Meaning Representation driven Attention-Gate semantic framework for aspect sentiment triplet extraction. Engineering Applications of Artificial Intelligence. 139. 109625–109625. 2 indexed citations

14.

Ma, Fei, et al.. (2023). A new retinal OCT‐angiography diabetic retinopathy dataset for segmentation and DR grading. Journal of Biophotonics. 16(11). e202300052–e202300052. 3 indexed citations

15.

Meng, Jing, Cong Geng, Yinyan Guan, et al.. (2023). Comparing the electrochemical degradation of levofloxacin using the modified Ti/SnO2 electrode in different electrolytes. Journal of Electroanalytical Chemistry. 944. 117633–117633. 4 indexed citations

16.

Ma, Fei, Shengbo Wang, Yanfei Guo, et al.. (2023). Deep‐learning segmentation method for optical coherence tomography angiography in ophthalmology. Journal of Biophotonics. 17(2). e202300321–e202300321. 4 indexed citations

17.

Meng, Jing, et al.. (2023). Time-Serial Evaluation of the Development and Treatment of Myopia in Mice Eyes Using OCT and ZEMAX. Diagnostics. 13(3). 379–379. 2 indexed citations

18.

Hao, Ming, Shiyue Liu, Cong Geng, et al.. (2022). Effect of anion-exchange membrane type for FCDI performance at different concentrations. Environmental Technology. 44(23). 3585–3591. 4 indexed citations

19.

Meng, Jing, et al.. (2022). Depth-extended acoustic-resolution photoacoustic microscopy based on a two-stage deep learning network. Biomedical Optics Express. 13(8). 4386–4386. 9 indexed citations

20.

Meng, Jing & Liang Song. (2013). Biomedical photoacoustics in China. Photoacoustics. 1(2). 43–48. 8 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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