Ning Shen

715 total citations · 1 hit paper
33 papers, 481 citations indexed

About

Ning Shen is a scholar working on Catalysis, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ning Shen has authored 33 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Catalysis, 7 papers in Biomedical Engineering and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ning Shen's work include Retinal Imaging and Analysis (5 papers), Ammonia Synthesis and Nitrogen Reduction (5 papers) and Glaucoma and retinal disorders (3 papers). Ning Shen is often cited by papers focused on Retinal Imaging and Analysis (5 papers), Ammonia Synthesis and Nitrogen Reduction (5 papers) and Glaucoma and retinal disorders (3 papers). Ning Shen collaborates with scholars based in China, Macao and United Arab Emirates. Ning Shen's co-authors include Tingfa Xu, Jianan Li, Shiqi Huang, Quanxin Li, Yong Xu, Feiyan Gong, Zhi Yang, Weiwei Huang, Zhaoxia Zhang and Songbai Qiu and has published in prestigious journals such as Journal of Hazardous Materials, Bioresource Technology and The Journal of Physical Chemistry C.

In The Last Decade

Ning Shen

28 papers receiving 467 citations

Hit Papers

RTNet: Relation Transformer Network for Diabetic Retinopa... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Shen China 12 162 153 103 77 62 33 481
Huaizhong Zhang United Kingdom 10 54 0.3× 59 0.4× 86 0.8× 30 0.4× 33 0.5× 38 328
Yuanzhong Li Japan 17 66 0.4× 148 1.0× 143 1.4× 27 0.4× 3 0.0× 45 620
Hui Zheng China 12 55 0.3× 19 0.1× 743 7.2× 16 0.2× 12 0.2× 33 1.1k
Ji Wen China 6 46 0.3× 135 0.9× 100 1.0× 48 0.6× 6 0.1× 25 399
Chunyan Chu China 11 106 0.7× 60 0.4× 28 0.3× 55 0.7× 23 0.4× 26 328
Ji Wang China 8 55 0.3× 49 0.3× 130 1.3× 23 0.3× 5 0.1× 25 370
Lian Liu China 6 38 0.2× 88 0.6× 118 1.1× 20 0.3× 6 0.1× 21 471
Ling Luo China 14 76 0.5× 42 0.3× 62 0.6× 86 1.1× 30 0.5× 53 497
Mengdi Gao China 7 88 0.5× 367 2.4× 68 0.7× 9 0.1× 72 1.2× 13 590
Yifan Wang China 12 51 0.3× 69 0.5× 39 0.4× 98 1.3× 3 0.0× 55 367

Countries citing papers authored by Ning Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ning Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Shen. A scholar is included among the top collaborators of Ning Shen 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 Ning Shen. Ning Shen 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.
Xu, Tingfa, et al.. (2024). Edge Feature Enhancement for Fine-Grained Segmentation of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 6 indexed citations
2.
Huang, Shiqi, Jianan Li, Ning Shen, & Tingfa Xu. (2024). Meta-tubular-net: A robust topology-aware re-weighting network for retinal vessel segmentation. Biomedical Signal Processing and Control. 91. 106060–106060.
3.
Shen, Ning, et al.. (2024). Predicting Typhoon Flood in Macau Using Dynamic Gaussian Bayesian Network and Surface Confluence Analysis. Mathematics. 12(2). 340–340. 1 indexed citations
4.
Shen, Ning, et al.. (2023). Healthcare Cost Prediction Based on Hybrid Machine Learning Algorithms. Mathematics. 11(23). 4778–4778. 8 indexed citations
5.
Wu, Lei, Haishuai Wang, Yining Chen, et al.. (2023). Beyond radiologist-level liver lesion detection on multi-phase contrast-enhanced CT images by deep learning. iScience. 26(11). 108183–108183. 7 indexed citations
6.
Zhou, Ping, et al.. (2023). N6-methyladenosine methylation in kidney injury. Clinical Epigenetics. 15(1). 170–170. 11 indexed citations
7.
Huang, Bo, Junjie Chen, Jianan Li, et al.. (2023). Searching Region-Free and Template-Free Siamese Network for Tracking Drones in TIR Videos. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 13 indexed citations
8.
Shen, Ning, et al.. (2023). Expert-Guided Knowledge Distillation for Semi-Supervised Vessel Segmentation. IEEE Journal of Biomedical and Health Informatics. 27(11). 5542–5553. 6 indexed citations
9.
Li, Jianan, et al.. (2022). Dealing with Long-tail Issue in Diabetic Retinopathy and Diabetic Macular Edema Grading. 40–46. 2 indexed citations
10.
Huang, Shiqi, et al.. (2022). RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-Lesion Segmentation. IEEE Transactions on Medical Imaging. 41(6). 1596–1607. 139 indexed citations breakdown →
11.
Shen, Ning, Xueyan Li, Shuang Zheng, et al.. (2019). Automated and accurate quantification of subcutaneous and visceral adipose tissue from magnetic resonance imaging based on machine learning. Magnetic Resonance Imaging. 64. 28–36. 20 indexed citations
12.
Shen, Ning, Zhenan Tang, Jun Yu, & Zhengxing Huang. (2014). A low-cost infrared absorbing structure for an uncooled infrared detector in a standard CMOS process. Journal of Semiconductors. 35(3). 34014–34014. 4 indexed citations
13.
Gong, Feiyan, Zhi Yang, Weiwei Huang, et al.. (2011). Selective conversion of bio-oil to light olefins: Controlling catalytic cracking for maximum olefins. Bioresource Technology. 102(19). 9247–9254. 96 indexed citations
14.
Xu, Yong, Tongqi Ye, Songbai Qiu, et al.. (2011). High efficient conversion of CO2-rich bio-syngas to CO-rich bio-syngas using biomass char: a useful approach for production of bio-methanol from bio-oil. Bioresource Technology. 102(10). 6239–6245. 39 indexed citations
15.
Li, Xinglong, Ning Shen, Lixia Yuan, & Quanxin Li. (2011). Hydrogen Production From Crude Bio-oil and Biomass Char by Electrochemical Catalytic Reforming. Chinese Journal of Chemical Physics. 24(4). 477–483. 5 indexed citations
16.
Shen, Ning, et al.. (2011). Characterization and Anion Emission Characteristics of the Microporous Crystal Cs-C12A7. Acta Physico-Chimica Sinica. 27(4). 983–989. 3 indexed citations
17.
Wang, Kai, et al.. (2010). A metal-free aerobic oxidation of nitrotoluenes catalyzed by N,N′,N″-trihydroxyisocyanuric acid (THICA) and a novel approach to the catalyst. Journal of Hazardous Materials. 184(1-3). 400–405. 14 indexed citations
18.
Lin, Zhou, et al.. (2010). Synthesis and characteristics of the C12A7-O− nanoparticles by citric acid sol–gel combustion method. Materials Letters. 64(11). 1322–1324. 17 indexed citations
19.
Shen, Ning, et al.. (2009). Features and Mechanism of Chlorine Anion Emission from Microporous Crystal C12A7-Cl- Surface. Acta Physico-Chimica Sinica. 25(9). 1713–1720. 1 indexed citations
20.
Shen, Ning. (2006). A Novel Load Forecasting Method Based on Grey Relational Weighing Combination Model.

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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