Jingjing Deng

1.4k total citations
62 papers, 998 citations indexed

About

Jingjing Deng is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Pharmacology. According to data from OpenAlex, Jingjing Deng has authored 62 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 17 papers in Molecular Biology and 9 papers in Pharmacology. Recurrent topics in Jingjing Deng's work include Microbial Natural Products and Biosynthesis (9 papers), Chemical Synthesis and Analysis (6 papers) and Image and Signal Denoising Methods (5 papers). Jingjing Deng is often cited by papers focused on Microbial Natural Products and Biosynthesis (9 papers), Chemical Synthesis and Analysis (6 papers) and Image and Signal Denoising Methods (5 papers). Jingjing Deng collaborates with scholars based in China, United Kingdom and Netherlands. Jingjing Deng's co-authors include Xianghua Xie, Oscar P. Kuipers, Manuel Montalbán‐López, Yuemao Shen, Haoxin Wang, Yaoyao Li, Auke J. van Heel, Shanren Li, Chunhua Lu and Chao Xie and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

In The Last Decade

Jingjing Deng

57 papers receiving 977 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingjing Deng China 19 396 292 171 107 97 62 998
Wei-Ting Liu Taiwan 18 580 1.5× 407 1.4× 92 0.5× 85 0.8× 12 0.1× 50 1.3k
Juan Shen China 23 658 1.7× 59 0.2× 159 0.9× 31 0.3× 174 1.8× 98 1.7k
Fangyan Zhang China 17 331 0.8× 71 0.2× 100 0.6× 66 0.6× 45 0.5× 48 813
Wanting Yang China 19 468 1.2× 45 0.2× 205 1.2× 77 0.7× 79 0.8× 102 2.1k
Jichang Li China 20 315 0.8× 114 0.4× 111 0.6× 25 0.2× 105 1.1× 37 1.0k
Zhong Li China 17 494 1.2× 50 0.2× 52 0.3× 45 0.4× 42 0.4× 67 955
Bingding Huang China 18 1.1k 2.9× 97 0.3× 136 0.8× 88 0.8× 192 2.0× 59 2.1k
Byung-Kwon Park South Korea 18 213 0.5× 119 0.4× 30 0.2× 35 0.3× 14 0.1× 76 1.5k
Cheng Yan China 20 909 2.3× 90 0.3× 87 0.5× 167 1.6× 148 1.5× 84 1.6k

Countries citing papers authored by Jingjing Deng

Since Specialization
Citations

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

Fields of papers citing papers by Jingjing Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjing Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Jingjing Deng. A scholar is included among the top collaborators of Jingjing Deng 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 Jingjing Deng. Jingjing Deng 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, Xiatian, et al.. (2025). Adaptive Graph Learning From Spatial Information for Surgical Workflow Anticipation. IEEE Transactions on Medical Robotics and Bionics. 7(1). 266–280.
2.
Duan, Haoran, et al.. (2025). FMDConv: Fast multi-attention dynamic convolution via speed-accuracy trade-off. Knowledge-Based Systems. 317. 113393–113393. 1 indexed citations
3.
Xie, Xianghua, et al.. (2024). A survey on vulnerability of federated learning: A learning algorithm perspective. Neurocomputing. 573. 127225–127225. 24 indexed citations
4.
Hu, Yi, et al.. (2023). An Element-Wise Weights Aggregation Method for Federated Learning. Cronfa (Swansea University). 188–196. 2 indexed citations
5.
Deng, Jingjing, et al.. (2023). FedBoosting: Federated learning with gradient protected boosting for text recognition. Neurocomputing. 569. 127126–127126. 5 indexed citations
6.
Deng, Jingjing, et al.. (2022). GRNN: Generative Regression Neural Network—A Data Leakage Attack for Federated Learning. ACM Transactions on Intelligent Systems and Technology. 13(4). 1–24. 76 indexed citations
7.
Deng, Jingjing, et al.. (2022). Sampling strategies for learning-based 3D medical image compression. SHILAP Revista de lepidopterología. 8. 100273–100273. 2 indexed citations
8.
Chu, Ming, Guofeng Fu, Jingjing Deng, et al.. (2022). Evaluation of the inhalation toxicity of arecoline benzoate aerosol in rats. Journal of Applied Toxicology. 42(8). 1396–1410. 3 indexed citations
9.
Deng, Jingjing & Xianghua Xie. (2021). 3D Interactive Segmentation With Semi-Implicit Representation and Active Learning. IEEE Transactions on Image Processing. 30. 9402–9417. 7 indexed citations
10.
Zhu, Jing, Jingjing Deng, Wang Chen, et al.. (2021). The coupled reaction catalyzed by EchB and EchC lead to the formation of the common 2′,3′,5′-trihydroxy-benzene core in echosides biosynthesis. Biochemical and Biophysical Research Communications. 559. 62–69. 2 indexed citations
11.
Deng, Jingjing, Jan Ornik, Kai Zhao, et al.. (2020). Recognition of coal from other minerals in powder form using terahertz spectroscopy. Optics Express. 28(21). 30943–30943. 9 indexed citations
12.
Deng, Jingjing, Jakob H. Viel, Vladimir Kubyshkin, Nediljko Budiša, & Oscar P. Kuipers. (2020). Conjugation of Synthetic Polyproline Moietes to Lipid II Binding Fragments of Nisin Yields Active and Stable Antimicrobials. Frontiers in Microbiology. 11. 575334–575334. 11 indexed citations
13.
Terry, Louise, Jingjing Deng, Xianghua Xie, et al.. (2019). Feature analysis of the choroid in optical coherence tomography images – limitations and opportunities. Investigative Ophthalmology & Visual Science. 60(9). 3461–3461. 1 indexed citations
14.
Schmitt, Steven, Manuel Montalbán‐López, David Peterhoff, et al.. (2019). Analysis of modular bioengineered antimicrobial lanthipeptides at nanoliter scale. Nature Chemical Biology. 15(5). 437–443. 91 indexed citations
15.
Deng, Jingjing, et al.. (2018). Recurrent Neural Networks for Financial Time-Series Modelling. Cronfa (Swansea University). 892–897. 13 indexed citations
16.
Zhao, Kai, et al.. (2018). Real-time moving pedestrian detection using contour features. Multimedia Tools and Applications. 77(23). 30891–30910. 14 indexed citations
17.
Terry, Louise, Jingjing Deng, Xianghua Xie, et al.. (2016). Automated classification of age-related macular degeneration using choroidal optical coherence tomography imaging - a pilot study. Investigative Ophthalmology & Visual Science. 57(12). 45–45. 2 indexed citations
18.
Lacey, Arron, Jingjing Deng, & Xianghua Xie. (2014). Protein classification using Hidden Markov models and randomised decision trees. Cronfa (Swansea University). 36. 659–664. 4 indexed citations
19.
Fang, Hui, Jingjing Deng, Xianghua Xie, & P.W. Grant. (2013). From clamped local shape models to global shape model. Cronfa (Swansea University). 3513–3517. 1 indexed citations
20.
Couttenye, Marie M., Patrick C. D’Haese, Jingjing Deng, et al.. (1997). High prevalence of adynamic bone disease diagnosed by biochemical markers in a wide sample of the European CAPD population. Nephrology Dialysis Transplantation. 12(10). 2144–2150. 45 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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