Jiabin Pu

698 total citations · 1 hit paper
17 papers, 315 citations indexed

About

Jiabin Pu is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Jiabin Pu has authored 17 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 10 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in Jiabin Pu's work include Remote Sensing in Agriculture (14 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Land Use and Ecosystem Services (4 papers). Jiabin Pu is often cited by papers focused on Remote Sensing in Agriculture (14 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Land Use and Ecosystem Services (4 papers). Jiabin Pu collaborates with scholars based in China, United States and Finland. Jiabin Pu's co-authors include Kai Yan, Ranga B. Myneni, Si Gao, Yuri Knyazikhin, Jianbo Qi, Gaofei Yin, Guangjian Yan, Xuanlong Ma, Sicong Gao and Xihan Mu and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

Jiabin Pu

16 papers receiving 306 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.

Evaluating the saturation effect of vegetation indices in forests using 3D radiative transfer simulations and satellite observations

2023 94 citations Si Gao, Kai Yan et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiabin Pu China	9	239	153	136	81	68	17	315
Si Gao China	9	241 1.0×	144 0.9×	153 1.1×	86 1.1×	52 0.8×	18	323
Eric Chavanon France	8	292 1.2×	198 1.3×	212 1.6×	58 0.7×	80 1.2×	15	402
Jorge Sánchez-Zapero Spain	10	244 1.0×	201 1.3×	169 1.2×	69 0.9×	64 0.9×	14	348
Sivasathivel Kandasamy France	5	224 0.9×	145 0.9×	137 1.0×	52 0.6×	56 0.8×	9	284
Liying Geng China	9	249 1.0×	252 1.6×	126 0.9×	112 1.4×	40 0.6×	14	410
Harry Morris United Kingdom	7	218 0.9×	144 0.9×	135 1.0×	44 0.5×	61 0.9×	14	265
Monica Robustelli Italy	8	249 1.0×	274 1.8×	126 0.9×	61 0.8×	45 0.7×	15	373
Giandomenico De Luca Italy	9	264 1.1×	153 1.0×	198 1.5×	39 0.5×	60 0.9×	10	371
Chuang LIU China	8	195 0.8×	172 1.1×	77 0.6×	116 1.4×	25 0.4×	25	326

Countries citing papers authored by Jiabin Pu

Since Specialization

Citations

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

Fields of papers citing papers by Jiabin Pu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiabin Pu

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

All Works

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17 of 17 papers shown

Yan, Kai, et al.. (2025). HiQ-FPAR: A High-Quality and Value-added MODIS Global FPAR Product from 2000 to 2023. Scientific Data. 12(1). 72–72. 2 indexed citations

Burdun, Iuliia, Mari Myllymäki, Rebekka Artz, et al.. (2025). Satellite data archives reveal positive effects of peatland restoration: albedo and temperature begin to resemble those of intact peatlands. Environmental Research Letters. 20(8). 84037–84037. 1 indexed citations

Pu, Jiabin, Kai Yan, Samapriya Roy, et al.. (2024). Sensor-independent LAI/FPAR CDR: reconstructing a global sensor-independent climate data record of MODIS and VIIRS LAI/FPAR from 2000 to 2022. Earth system science data. 16(1). 15–34. 20 indexed citations

Zhang, Xingjian, Kai Yan, Jinxiu Liu, et al.. (2024). An Insight Into the Internal Consistency of MODIS Global Leaf Area Index Products. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 3 indexed citations

Zhu, Zaichun, et al.. (2024). A global dataset of the fraction of absorbed photosynthetically active radiation for 1982–2022. Scientific Data. 11(1). 707–707. 3 indexed citations

Yan, Kai, Jinxiu Liu, Si Gao, et al.. (2024). Revisiting the consistency of MODIS LAI products from a new perspective of spatiotemporal variability. International Journal of Digital Earth. 17(1). 2 indexed citations

Yan, Kai, Rui Peng, Kai Yang, et al.. (2024). HiQ-LAI: a high-quality reprocessed MODIS leaf area index dataset with better spatiotemporal consistency from 2000 to 2022. Earth system science data. 16(3). 1601–1622. 21 indexed citations

Gao, Si, Kai Yan, Jinxiu Liu, et al.. (2024). Assessment of remote-sensed vegetation indices for estimating forest chlorophyll concentration. Ecological Indicators. 162. 112001–112001. 41 indexed citations

Pu, Jiabin, Kai Yan, Si Gao, et al.. (2023). Improving the MODIS LAI compositing using prior time-series information. Remote Sensing of Environment. 287. 113493–113493. 11 indexed citations

10.

Gao, Si, Kai Yan, Xuanlong Ma, et al.. (2023). Evaluating the saturation effect of vegetation indices in forests using 3D radiative transfer simulations and satellite observations. Remote Sensing of Environment. 295. 113665–113665. 94 indexed citations breakdown →

11.

Zhang, Yuan, et al.. (2023). Indoor UAV Formation System Based on UWB Positioning. 8545–8550. 1 indexed citations

12.

Yan, Kai, Si Gao, Jiabin Pu, et al.. (2023). Improving the Quality of MODIS LAI Products by Exploiting Spatiotemporal Correlation Information. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–19. 5 indexed citations

13.

Yan, Kai, Jiabin Pu, Si Gao, et al.. (2022). Revisit the Performance of MODIS and VIIRS Leaf Area Index Products from the Perspective of Time-Series Stability. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 8958–8973. 8 indexed citations

14.

Pu, Jiabin, Linlin Xu, Kui Li, et al.. (2021). Deep convolutional neural network with random field model for lake ice mapping from Sentinel-1 imagery. International Journal of Remote Sensing. 42(24). 9351–9375. 2 indexed citations

15.

Yan, Kai, Yelu Zeng, Jiabin Pu, et al.. (2021). Modeling the radiation regime of a discontinuous canopy based on the stochastic radiative transport theory: Modification, evaluation and validation. Remote Sensing of Environment. 267. 112728–112728. 20 indexed citations

16.

Yan, Kai, Jiabin Pu, Taejin Park, et al.. (2021). Performance stability of the MODIS and VIIRS LAI algorithms inferred from analysis of long time series of products. Remote Sensing of Environment. 260. 112438–112438. 43 indexed citations

17.

Pu, Jiabin, Kai Yan, Hanliang Li, et al.. (2020). Evaluation of the MODIS LAI/FPAR Algorithm Based on 3D-RTM Simulations: A Case Study of Grassland. Remote Sensing. 12(20). 3391–3391. 38 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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