Jing Tang

4.0k total citations · 2 hit papers
97 papers, 2.6k citations indexed

About

Jing Tang is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology. According to data from OpenAlex, Jing Tang has authored 97 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atmospheric Science, 35 papers in Global and Planetary Change and 34 papers in Ecology. Recurrent topics in Jing Tang's work include Remote Sensing in Agriculture (17 papers), Plant Water Relations and Carbon Dynamics (15 papers) and Cryospheric studies and observations (14 papers). Jing Tang is often cited by papers focused on Remote Sensing in Agriculture (17 papers), Plant Water Relations and Carbon Dynamics (15 papers) and Cryospheric studies and observations (14 papers). Jing Tang collaborates with scholars based in China, Sweden and Denmark. Jing Tang's co-authors include Lian Feng, Juha Suomalainen, Caroline Gevaert, Lammert Kooistra, Xuejiao Hou, Yi Zheng, Guy Schurgers, Junguo Liu, Chunmiao Zheng and Riikka Rinnan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Jing Tang

85 papers receiving 2.5k citations

Hit Papers

align trajectories

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.

Global mapping reveals increase in lacustrine algal blooms over the past decade

2022 360 citations Lian Feng, Jing Tang et al. profile →
Mapping global lake dynamics reveals the emerging roles of small lakes

2022 194 citations Lian Feng, Jing Tang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jing Tang China	26	795	766	673	535	486	97	2.6k
Jian Zhou China	32	1.4k 1.7×	1.0k 1.3×	928 1.4×	1.3k 2.4×	1.2k 2.5×	95	4.4k
Shusen Wang Canada	39	2.2k 2.8×	1.2k 1.5×	1.1k 1.7×	447 0.8×	777 1.6×	131	4.2k
Heng Lü China	19	409 0.5×	212 0.3×	279 0.4×	452 0.8×	440 0.9×	59	1.7k
Qiao Wang China	22	373 0.5×	184 0.2×	314 0.5×	448 0.8×	421 0.9×	140	1.6k
Hua Su China	27	1.0k 1.3×	962 1.3×	227 0.3×	881 1.6×	459 0.9×	98	2.5k
Susan Steele‐Dunne Netherlands	28	1.4k 1.8×	1.2k 1.6×	585 0.9×	302 0.6×	720 1.5×	84	3.4k
Jian Peng China	33	1.6k 2.0×	1.4k 1.8×	404 0.6×	200 0.4×	954 2.0×	157	3.9k
Tim Malthus United Kingdom	28	776 1.0×	339 0.4×	1.7k 2.5×	602 1.1×	326 0.7×	98	2.9k
Steven G. Ackleson United States	18	1.0k 1.3×	612 0.8×	850 1.3×	1.6k 3.0×	407 0.8×	41	3.5k

Countries citing papers authored by Jing Tang

Since Specialization

Citations

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

Fields of papers citing papers by Jing Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Tang. A scholar is included among the top collaborators of Jing Tang 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 Jing Tang. Jing Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Aaltonen, Heidi, Jing Tang, Dan Kou, et al.. (2025). Changes in the Factors Influencing Forest Floor Terpenoid Emissions During Post‐Fire Forest Succession. Journal of Geophysical Research Biogeosciences. 130(3).

Tang, Jing, et al.. (2024). Improving future agricultural sustainability by optimizing crop distributions in China. PNAS Nexus. 4(1). pgae562–pgae562.

Zhou, Hao, Jing Tang, Stefan Olin, & Paul Miller. (2024). A comprehensive evaluation of hydrological processes in a second‐generation dynamic vegetation model. Hydrological Processes. 38(4). 5 indexed citations

Tang, Jing, et al.. (2024). Air and Surface Temperatures Differently Drive Terrestrial Carbon and Water Cycles in the High Latitudes. Geophysical Research Letters. 51(19). 2 indexed citations

Yun, Hanbo, Philippe Ciais, Qing Zhu, et al.. (2024). Changes in above- versus belowground biomass distribution in permafrost regions in response to climate warming. Proceedings of the National Academy of Sciences. 121(25). e2314036121–e2314036121. 13 indexed citations

Han, Guosheng, et al.. (2023). Hessian Regularized $$L_{2,1}$$-Nonnegative Matrix Factorization and Deep Learning for miRNA–Disease Associations Prediction. Interdisciplinary Sciences Computational Life Sciences. 16(1). 176–191. 3 indexed citations

Zhang, Wenhao, et al.. (2023). Determination of ash content, volatile matter, and calorific value in coal by OLS combined with laser-induced breakdown spectroscopy based on PC recombination. Journal of Analytical Atomic Spectrometry. 38(9). 1851–1864. 7 indexed citations

Chen, Shouzhi, Yongshuo H. Fu, Zhaofei Wu, et al.. (2022). Informing the SWAT model with remote sensing detected vegetation phenology for improved modeling of ecohydrological processes. Journal of Hydrology. 616. 128817–128817. 44 indexed citations

Feng, Lian, et al.. (2022). Trends in River Total Suspended Sediments Driven by Dams and Soil Erosion: A Comparison Between the Yangtze and Mekong Rivers. Water Resources Research. 58(10). 25 indexed citations

10.

Anthoni, Peter, David Wårlind, Stefan Olin, et al.. (2022). LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism. Geoscientific model development. 15(17). 6709–6745. 24 indexed citations

11.

Chen, Shouzhi, Yongshuo H. Fu, Xiaojun Geng, et al.. (2022). Influences of Shifted Vegetation Phenology on Runoff Across a Hydroclimatic Gradient. Frontiers in Plant Science. 12. 802664–802664. 16 indexed citations

12.

Wang, Jun, Yan Tong, Lian Feng, et al.. (2021). Satellite‐Observed Decreases in Water Turbidity in the Pearl River Estuary: Potential Linkage With Sea‐Level Rise. Journal of Geophysical Research Oceans. 126(4). 21 indexed citations

13.

Yun, Hanbo, Jing Tang, Ludovica D’Imperio, et al.. (2021). Warming and Increased Respiration Have Transformed an Alpine Steppe Ecosystem on the Tibetan Plateau From a Carbon Dioxide Sink Into a Source. Journal of Geophysical Research Biogeosciences. 127(1). 14 indexed citations

14.

Fan, Xiaodong, Jing Tang, Xinjing Huang, et al.. (2021). Spontaneous Folding Growth of Graphene on h-BN. Nano Letters. 21(5). 2033–2039. 15 indexed citations

15.

Tang, Jing, Guy Schurgers, & Riikka Rinnan. (2019). Process Understanding of Soil BVOC Fluxes in Natural Ecosystems: A Review. Reviews of Geophysics. 57(3). 966–986. 65 indexed citations

16.

Tang, Jing, et al.. (2016). Long-term coastal openness variation and its impact on sediment grain-sizedistribution: a case study from the Baltic Sea. Earth Surface Dynamics. 4(4). 773–780. 5 indexed citations

17.

Tang, Jing, Guy Schurgers, Patrick Faubert, et al.. (2016). Challenges in modelling isoprene and monoterpene emission dynamics of Arctic plants: a case study from a subarctic tundra heath. Biogeosciences. 13(24). 6651–6667. 30 indexed citations

18.

Tang, Jing, Paul Miller, Anders Persson, et al.. (2015). Carbon budget estimation of a subarctic catchment using a dynamic ecosystem model at high spatial resolution. Biogeosciences. 12(9). 2791–2808. 19 indexed citations

19.

Tang, Jing & Petter Pilesjö. (2011). Estimating slope from raster data: a test of eight different algorithms in flat, undulating and steep terrain. WIT transactions on ecology and the environment. 1. 143–154. 13 indexed citations

20.

Desai, Ankur R., Bruce D. Cook, Peter S. Curtis, et al.. (2004). Impact of vegetation cover and stand age on scaling carbon fluxes in the upper Midwest: a multiple eddy flux site study. AGU Fall Meeting Abstracts. 2004. 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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