Tao Lin

8.9k total citations · 2 hit papers
220 papers, 6.0k citations indexed

About

Tao Lin is a scholar working on Electrical and Electronic Engineering, Plant Science and Ecology. According to data from OpenAlex, Tao Lin has authored 220 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 32 papers in Plant Science and 28 papers in Ecology. Recurrent topics in Tao Lin's work include Remote Sensing in Agriculture (25 papers), Smart Agriculture and AI (19 papers) and Spectroscopy and Chemometric Analyses (18 papers). Tao Lin is often cited by papers focused on Remote Sensing in Agriculture (25 papers), Smart Agriculture and AI (19 papers) and Spectroscopy and Chemometric Analyses (18 papers). Tao Lin collaborates with scholars based in China, United States and United Kingdom. Tao Lin's co-authors include Haifeng Li, Pu Wang, Ling Zhao, Chao Zhang, Yu Liu, Min Deng, Yibin Ying, Jinfan Xu, Xiaolei Zhang and K. C. Ting and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Tao Lin

198 papers receiving 5.9k citations

Hit Papers

T-GCN: A Temporal Graph Convolutional Network for Traffic... 2019 2026 2021 2023 2019 2022 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
    2019 2.0k citations Ling Zhao, Pu Wang et al. IEEE Transactions on Intelligent Transportation Systems profile →
  2. KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
    2022 119 citations Jiawei Zhu, Xing Han et al. IEEE Transactions on Intelligent Transportation Systems profile →

Peers

Tao Lin
Haifeng Li China
Ryosuke Shibasaki Japan
Haiyang Yu China
Shaowen Wang United States
Xin Huang China
Lei Shu China
C.T. Kiranoudis Greece
Ying Sun Saudi Arabia
Amir H. Alavi United States
Deepak Gupta India
Haifeng Li China
Tao Lin
Citations per year, relative to Tao Lin Tao Lin (= 1×) peers Haifeng Li

Countries citing papers authored by Tao Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Lin. A scholar is included among the top collaborators of Tao Lin 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 Tao Lin. Tao Lin 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
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Zhan, Huan, et al.. (2025). The flavor properties of Amadori rearrangement products and their potentials in flavor replication of plant-based meat analogs: a review. Critical Reviews in Food Science and Nutrition. 65(33). 8722–8736. 2 indexed citations
3.
Lin, Tao, et al.. (2025). Multi-HGNN: Multi-modal hypergraph neural networks for predicting missing reactions in metabolic networks. Information Sciences. 704. 121960–121960. 1 indexed citations
4.
Lin, Zhixian, et al.. (2025). Strawberry harvest date prediction using multi-feature fusion deep learning in plant factory. Computers and Electronics in Agriculture. 234. 110174–110174. 1 indexed citations
5.
Hu, Zhicheng, et al.. (2025). Estimating Stratified Biomass in Cotton Fields Using UAV Multispectral Remote Sensing and Machine Learning. Drones. 9(3). 186–186. 2 indexed citations
6.
Yang, Jie, Shijie Tian, Hao Jiang, et al.. (2024). Enhancing spectroscopy-based fruit quality control: A knowledge-guided machine learning approach to reduce model uncertainty. Postharvest Biology and Technology. 216. 113009–113009. 6 indexed citations
7.
Zhou, Qian, et al.. (2024). Clinical efficacy of thalidomide for various genotypes of beta thalassemia. BMC Medical Genomics. 17(1). 191–191. 1 indexed citations
8.
Qin, Qiuju, Tao Lin, Chen Li, et al.. (2024). Regulating the distribution of iron active sites on γ-Fe2O3 via Mn-modified α-Fe2O3 for NH3-SCR. Applied Catalysis B: Environmental. 349. 123869–123869. 25 indexed citations
9.
Xiong, Xingguo, Renhai Zhong, Jingfeng Huang, et al.. (2024). Daily DeepCropNet: A hierarchical deep learning approach with daily time series of vegetation indices and climatic variables for corn yield estimation. ISPRS Journal of Photogrammetry and Remote Sensing. 209. 249–264. 13 indexed citations
10.
Ma, Jiayi, Yan Su, Jingru Xie, et al.. (2024). Chemometric-based analysis and bioassay guided identification of potent compounds with intestinal motility promoting effects from Dalitong Granules. Journal of Ethnopharmacology. 337(Pt 1). 118777–118777.
11.
Lin, Tao, Chengxu Tu, Xiaolong Li, et al.. (2024). Particle dynamics at fluid interface by pseudo-potential lattice Boltzmann method coupled with smoothed profile method. Physics of Fluids. 36(12).
12.
Liu, Hongcheng, Tao Lin, Lunzhao Yi, et al.. (2023). Quantification of caffeine and catechins and evaluation of bitterness and astringency of Pu-erh ripen tea based on portable near-infrared spectroscopy. Journal of Food Composition and Analysis. 125. 105793–105793. 16 indexed citations
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Shao, Mingchao, Chenwei Nie, Aijun Zhang, et al.. (2023). Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods. Computers and Electronics in Agriculture. 211. 108029–108029. 16 indexed citations
16.
Feng, Zhen, Jinyan Cheng, Jie Lyu, et al.. (2023). Gene function and cell surface protein association analysis based on single-cell multiomics data. Computers in Biology and Medicine. 157. 106733–106733. 89 indexed citations
17.
Hu, Hao, et al.. (2022). Multiperiod stochastic programming for biomass supply chain design under spatiotemporal variability of feedstock supply. Renewable Energy. 186. 378–393. 16 indexed citations
18.
Zhu, Jiawei, Xing Han, Hanhan Deng, et al.. (2022). KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting. IEEE Transactions on Intelligent Transportation Systems. 23(9). 15055–15065. 119 indexed citations breakdown →
19.
Peng, Jian, Bo Tang, Zhuo Li, et al.. (2021). Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 4243–4256. 30 indexed citations
20.
Weiss, Jonathan, et al.. (2018). Safety and Efficacy of a Fixed Combination Halobetasol and Tazarotene Lotion in the Treatment of Moderate-to-Severe Plaque Psoriasis: A Pooled Analysis of Two Phase 3 Studies.. PubMed. 17(8). 855–861. 12 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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