Ling Tan

454 total citations
28 papers, 291 citations indexed

About

Ling Tan is a scholar working on Media Technology, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ling Tan has authored 28 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Media Technology, 7 papers in Electrical and Electronic Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ling Tan's work include Advanced Image Fusion Techniques (5 papers), Remote Sensing and Land Use (4 papers) and AI in cancer detection (3 papers). Ling Tan is often cited by papers focused on Advanced Image Fusion Techniques (5 papers), Remote Sensing and Land Use (4 papers) and AI in cancer detection (3 papers). Ling Tan collaborates with scholars based in China, Norway and United States. Ling Tan's co-authors include Jingming Xia, Bin Li, Yufeng Liu, Yan Zhang, Ying Liang, Yue Wang, Yue Wang, Yufeng Liu, Chao Wang and Zifeng Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Expert Systems with Applications.

In The Last Decade

Ling Tan

25 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Tan China 10 91 88 61 54 53 28 291
Jingming Xia China 11 115 1.3× 47 0.5× 78 1.3× 36 0.7× 42 0.8× 23 285
Shivsubramani Krishnamoorthy India 8 115 1.3× 69 0.8× 64 1.0× 23 0.4× 34 0.6× 18 234
Rafikha Aliana A. Raof Malaysia 10 124 1.4× 16 0.2× 51 0.8× 32 0.6× 31 0.6× 36 296
Hussain Mobarak Albarakati Saudi Arabia 10 38 0.4× 50 0.6× 32 0.5× 20 0.4× 26 0.5× 30 246
Vishnu Chalavadi India 9 126 1.4× 29 0.3× 52 0.9× 41 0.8× 30 0.6× 16 310
Weiguang Sheng China 11 68 0.7× 81 0.9× 27 0.4× 26 0.5× 123 2.3× 40 294
Deepak Sharma India 9 37 0.4× 47 0.5× 33 0.5× 10 0.2× 31 0.6× 39 267
Naeem Bhatti Pakistan 12 187 2.1× 106 1.2× 32 0.5× 7 0.1× 58 1.1× 34 345

Countries citing papers authored by Ling Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ling Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Tan. A scholar is included among the top collaborators of Ling Tan 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 Ling Tan. Ling Tan 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.
2.
Nian, Min, Jie Xiang, Peiwei Xu, et al.. (2025). Can Nutrition Intake Counteract Harmful Impact of Endocrine Disruptors on Male Sex Hormones? Insights from NHANES 2013–2016. Bulletin of Environmental Contamination and Toxicology. 115(5). 57–57.
3.
Xu, Xin, Shipei Xing, Changzhi Shi, et al.. (2025). PAH-Finder: A Pattern Recognition Workflow for Identification of PAHs and Their Derivatives. Analytical Chemistry. 97(2). 1170–1179. 3 indexed citations
4.
Tan, Ling, et al.. (2024). Clinical-inspired skin lesions recognition based on deep hair removal with multi-level feature fusion. Pattern Recognition. 161. 111325–111325. 1 indexed citations
5.
Tan, Ling, et al.. (2024). Application of multi-source data fusion on intelligent prediction of photovoltaic power. Solar Energy. 277. 112706–112706. 9 indexed citations
6.
Tan, Ling, Hui Wu, Zifeng Xu, & Jingming Xia. (2024). Multi-object garbage image detection algorithm based on SP-SSD. Expert Systems with Applications. 263. 125773–125773. 6 indexed citations
7.
8.
Xia, Jingming, Yufeng Liu, & Ling Tan. (2024). Joint Optimization of Trajectory and Task Offloading for Cellular-Connected Multi-UAV Mobile Edge Computing. Chinese Journal of Electronics. 33(3). 823–832. 5 indexed citations
9.
Tan, Ling, et al.. (2024). Detection and Diagnosis of Small Target Breast Masses Based on Convolutional Neural Networks. Tsinghua Science & Technology. 29(5). 1524–1539. 12 indexed citations
10.
Tan, Ling, et al.. (2023). Skin lesion recognition via global-local attention and dual-branch input network. Engineering Applications of Artificial Intelligence. 127. 107385–107385. 17 indexed citations
11.
Tan, Ling, et al.. (2023). Research on weighted energy consumption and delay optimization algorithm based on dual‐queue model. IET Communications. 18(1). 81–95. 2 indexed citations
12.
Xia, Jingming, et al.. (2023). A Deep Learning Method Integrating Multisource Data for ECMWF Forecasting Products Correction. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 4 indexed citations
13.
Tan, Ling. (2023). Performance evaluation model of cross border e-commerce supply chain based on LMBP feedback neural network. SHILAP Revista de lepidopterología. 4(2). 168–180. 1 indexed citations
14.
Li, Bin, et al.. (2022). Digital Twin Assisted Task Offloading for Aerial Edge Computing and Networks. IEEE Transactions on Vehicular Technology. 71(10). 10863–10877. 109 indexed citations
15.
16.
Tan, Ling, et al.. (2021). Multimodal Magnetic Resonance Image Brain Tumor Segmentation Based on ACU-Net Network. IEEE Access. 9. 14608–14618. 23 indexed citations
17.
Xia, Jingming, et al.. (2021). Intelligent Fusion of Infrared and Visible Image Data Based on Convolutional Sparse Representation and Improved Pulse-coupled Neural Network. Computers, materials & continua/Computers, materials & continua (Print). 67(1). 613–624. 3 indexed citations
18.
Xia, Jingming, et al.. (2021). Urban Remote Sensing Scene Recognition Based on Lightweight Convolution Neural Network. IEEE Access. 9. 26377–26387. 11 indexed citations
19.
Tan, Ling, et al.. (2019). Medical Image Fusion Based on Fast Finite Shearlet Transform and Sparse Representation. Computational and Mathematical Methods in Medicine. 2019. 1–14. 21 indexed citations
20.
Tan, Ling, David Taniar, & Kate Smith‐Miles. (2003). Adaptive estimation of distribution algorithm with maximum entropy principle. 597–606. 1 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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