Jinglu Tan

1.8k total citations
68 papers, 1.3k citations indexed

About

Jinglu Tan is a scholar working on Molecular Biology, Plant Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jinglu Tan has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 20 papers in Plant Science and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jinglu Tan's work include Photosynthetic Processes and Mechanisms (18 papers), Light effects on plants (9 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Jinglu Tan is often cited by papers focused on Photosynthetic Processes and Mechanisms (18 papers), Light effects on plants (9 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Jinglu Tan collaborates with scholars based in United States, China and New Zealand. Jinglu Tan's co-authors include Ya Guo, Wei Lü, Yongnian Jiang, Jinhua Yu, Hao Wu, Wuyan Li, Yuanyuan Wang, Wang Yingkuan, Kai Hu and Qian Xia and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Trends in Food Science & Technology.

In The Last Decade

Jinglu Tan

68 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinglu Tan United States	19	390	242	231	138	136	68	1.3k
Qian Sun China	20	375 1.0×	414 1.7×	104 0.5×	148 1.1×	53 0.4×	55	1.5k
Amin Nasiri Iran	15	440 1.1×	104 0.4×	117 0.5×	274 2.0×	102 0.8×	25	1.1k
Qingling Duan China	20	197 0.5×	177 0.7×	148 0.6×	126 0.9×	713 5.2×	61	1.4k
Xiaochan Wang China	24	920 2.4×	287 1.2×	62 0.3×	310 2.2×	118 0.9×	166	2.4k
Xi Qiao China	18	692 1.8×	283 1.2×	142 0.6×	236 1.7×	96 0.7×	56	1.5k
Hui Fang China	19	310 0.8×	74 0.3×	76 0.3×	335 2.4×	92 0.7×	79	1.1k
Chun‐Chieh Yang United States	18	283 0.7×	92 0.4×	36 0.2×	359 2.6×	101 0.7×	67	977
Junde Chen China	30	1.6k 4.0×	318 1.3×	164 0.7×	659 4.8×	67 0.5×	74	3.0k
Xin Sun United States	22	566 1.5×	198 0.8×	81 0.4×	428 3.1×	33 0.2×	71	1.5k
Lan Huang China	25	524 1.3×	209 0.9×	103 0.4×	132 1.0×	51 0.4×	132	1.7k

Countries citing papers authored by Jinglu Tan

Since Specialization

Citations

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

Fields of papers citing papers by Jinglu Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinglu Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Jinglu Tan. A scholar is included among the top collaborators of Jinglu 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 Jinglu Tan. Jinglu Tan 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

Miao, Fang, et al.. (2025). Reconstructing systematically missing NDVI time series in cropland: A GAN-based approach using optical and SAR data. ISPRS Journal of Photogrammetry and Remote Sensing. 229. 270–284. 1 indexed citations

Chen, Junqing, et al.. (2025). An improved SIF-based GPP estimation method based on quantifying the joint effect of photosynthetically active radiation and temperature on LUE/SIFyield. Ecological Modelling. 501. 111017–111017. 2 indexed citations

Wang, Chengcheng, et al.. (2024). Analysis of phosphofructokinase-1 activity as affected by pH and ATP concentration. Scientific Reports. 14(1). 21192–21192. 3 indexed citations

Qu, Hongjun, et al.. (2024). Multispectral and hyperspectral image fusion via multi-model deep prior regularization. International Journal of Remote Sensing. 45(22). 8355–8379. 1 indexed citations

Khan, Kiran Yasmin, Barkat Ali, Shuang Zhang, et al.. (2023). Single and combined effect of tetracycline and polyethylene microplastics on two drought contrasting cultivars of Oryza sativa L. (Rice) under drought stress. Environmental Toxicology and Pharmacology. 101. 104191–104191. 18 indexed citations

Xia, Qian, et al.. (2023). Determination of F/F from Chlorophyll a Fluorescence without Dark Adaptation by an LSSVM Model. Plant Phenomics. 5. 34–34. 21 indexed citations

Matarneh, Sulaiman K., et al.. (2022). Contributions of energy pathways to ATP production and pH variations in postmortem muscles. Meat Science. 189. 108828–108828. 25 indexed citations

Xia, Qian, et al.. (2019). Sensing Plant Physiology and Environmental Stress by Automatically Tracking F _j and F _i Features in PSII Chlorophyll Fluorescence Induction. Photochemistry and Photobiology. 95(6). 1495–1503. 6 indexed citations

Hu, Kai, Juan Liu, Bin Li, et al.. (2019). Global research trends in food safety in agriculture and industry from 1991 to 2018: A data-driven analysis. Trends in Food Science & Technology. 85. 262–276. 49 indexed citations

10.

Tan, Jinglu, et al.. (2019). Determination of material optical properties from diffusive reflection light intensity profiles at multiple distances. Materials Research Express. 7(2). 25403–25403. 1 indexed citations

11.

Liu, Xu, Bin Li, Ye Su, et al.. (2019). Identifying Worldwide Interests in Organic Foods by Google Search Engine Data. IEEE Access. 7. 147771–147781. 13 indexed citations

12.

Govindjee, Govindjee, et al.. (2019). Development of a minimized model structure and a feedback control framework for regulating photosynthetic activities. Photosynthesis Research. 146(1-3). 213–225. 6 indexed citations

13.

Liu, Xu, Kai Hu, Wang Yingkuan, et al.. (2018). Deep learning for smart agriculture: Concepts, tools, applications, and opportunities. International journal of agricultural and biological engineering. 11(4). 21–28. 91 indexed citations

14.

Guo, Ya & Jinglu Tan. (2010). Modeling and simulation of the initial phases of chlorophyll fluorescence from Photosystem II. Biosystems. 103(2). 152–157. 29 indexed citations

15.

Guo, Ya & Jinglu Tan. (2010). A plant-tissue-based biophotonic method for herbicide sensing. Biosensors and Bioelectronics. 25(8). 1958–1962. 13 indexed citations

16.

Guo, Ya, Gang Yao, Bo Lei, & Jinglu Tan. (2008). Monte Carlo model for studying the effects of melanin concentrations on retina light absorption. Journal of the Optical Society of America A. 25(2). 304–304. 19 indexed citations

17.

Guo, Ya & Jinglu Tan. (2008). A kinetic model structure for delayed fluorescence from plants. Biosystems. 95(2). 98–103. 34 indexed citations

18.

Lü, Wei, et al.. (2005). Automated fetal head detection and measurement in ultrasound images by iterative randomized hough transform. Ultrasound in Medicine & Biology. 31(7). 929–936. 78 indexed citations

19.

Lü, Wei & Jinglu Tan. (2004). Grain Pattern Characterization and Classification of Walnut by Image Processing. Wood and Fiber Science. 36(3). 311–318. 6 indexed citations

20.

Tan, Jinglu, et al.. (2003). Image Processing to Facilitate Histological Evaluation of Tissue Specimens Stained With Perl's Prussian Blue. Toxicology Mechanisms and Methods. 13(3). 213–220. 3 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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