Bingwen Qiu

2.0k total citations
58 papers, 1.5k citations indexed

About

Bingwen Qiu is a scholar working on Ecology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Bingwen Qiu has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Ecology, 37 papers in Global and Planetary Change and 23 papers in Atmospheric Science. Recurrent topics in Bingwen Qiu's work include Remote Sensing in Agriculture (42 papers), Land Use and Ecosystem Services (25 papers) and Remote Sensing and Land Use (23 papers). Bingwen Qiu is often cited by papers focused on Remote Sensing in Agriculture (42 papers), Land Use and Ecosystem Services (25 papers) and Remote Sensing and Land Use (23 papers). Bingwen Qiu collaborates with scholars based in China, United States and Hong Kong. Bingwen Qiu's co-authors include Zhenghong Tang, Chongcheng Chen, Wen Qi, Xiaolin Zhu, Zhuangzhuang Wang, Joseph A. Berry, Xiaoqin Wang, Weiming Xu, Ming Zhong and Haiwen Li and has published in prestigious journals such as The Science of The Total Environment, PLANT PHYSIOLOGY and Remote Sensing of Environment.

In The Last Decade

Bingwen Qiu

54 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingwen Qiu China 21 905 780 441 307 286 58 1.5k
Ahmad Khan United States 10 710 0.8× 711 0.9× 221 0.5× 302 1.0× 255 0.9× 15 1.4k
Nguyễn Thanh Sơn Taiwan 23 1.1k 1.2× 889 1.1× 537 1.2× 535 1.7× 360 1.3× 91 2.0k
Muhammad Mubeen Pakistan 23 418 0.5× 713 0.9× 275 0.6× 393 1.3× 361 1.3× 48 1.4k
Offer Rozenstein Israel 22 599 0.7× 562 0.7× 352 0.8× 565 1.8× 275 1.0× 42 1.6k
Bikash Ranjan Parida India 25 744 0.8× 1.3k 1.7× 488 1.1× 430 1.4× 271 0.9× 93 2.0k
Qingbo Zhou China 23 1.2k 1.3× 839 1.1× 438 1.0× 540 1.8× 439 1.5× 79 1.8k
Linglin Zeng China 14 857 0.9× 790 1.0× 299 0.7× 506 1.6× 310 1.1× 24 1.6k
Olena Dubovyk Germany 26 852 0.9× 997 1.3× 263 0.6× 290 0.9× 179 0.6× 69 1.8k
Qiong Hu China 19 743 0.8× 577 0.7× 383 0.9× 290 0.9× 257 0.9× 50 1.3k
Pardhasaradhi Teluguntla United States 16 1.3k 1.4× 1.1k 1.4× 413 0.9× 489 1.6× 350 1.2× 36 1.9k

Countries citing papers authored by Bingwen Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Bingwen Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingwen Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Bingwen Qiu. A scholar is included among the top collaborators of Bingwen Qiu 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 Bingwen Qiu. Bingwen Qiu 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.
Shi, Ying, Yuan Liu, Bingwen Qiu, et al.. (2025). Infrared and visible image fusion via pre-fusion compensation and visual-gradient saliency detection. Infrared Physics & Technology. 150. 106000–106000. 1 indexed citations
2.
Xie, Yan, Hongwei Zeng, Junbin Li, et al.. (2025). Improving parcel level crop classification by integrating a novel red edge maize-cotton mapping index and machine learning: A case study in the Ebinur Lake Basin. International Journal of Applied Earth Observation and Geoinformation. 143. 104765–104765.
3.
Qiu, Bingwen, Zhengrong Li, Peng Yang, et al.. (2025). Towards automation of national scale cropping pattern mapping by coupling Sentinel-1/2 data: A 10-m map of crop rotation systems for wheat in China. Agricultural Systems. 227. 104338–104338. 1 indexed citations
4.
Qiu, Bingwen, Xiang Hu, Peng Yang, et al.. (2025). A robust framework for mapping complex cropping patterns: The first national-scale 10 m map with 10 crops in China using Sentinel 1/2 images. ISPRS Journal of Photogrammetry and Remote Sensing. 224. 361–381. 3 indexed citations
5.
Xia, Lang, Jing Yang, Xiao Sun, et al.. (2024). A temporal-spatial deep learning network for winter wheat mapping using time-series Sentinel-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 214. 48–64. 9 indexed citations
6.
Qiu, Bingwen, et al.. (2024). Mapping upland crop–rice cropping systems for targeted sustainable intensification in South China. The Crop Journal. 12(2). 614–629. 8 indexed citations
7.
Qiu, Bingwen, Zhenghong Tang, Jinwei Dong, et al.. (2024). National-scale 10-m maps of cropland use intensity in China during 2018–2023. Scientific Data. 11(1). 691–691. 15 indexed citations
8.
Liu, Yuan, et al.. (2024). Scene-based dual domain non-uniformity correction algorithm for stripe and optics-caused fixed pattern noise removal. Optics Express. 32(10). 16591–16591. 2 indexed citations
9.
Qiu, Bingwen, et al.. (2023). National Scale Maize Yield Estimation by Integrating Multiple Spectral Indexes and Temporal Aggregation. Remote Sensing. 15(2). 414–414. 5 indexed citations
10.
Qiu, Bingwen, et al.. (2023). A robust approach for large-scale cropping intensity mapping in smallholder farms from vegetation, brownness indices and SAR time series. ISPRS Journal of Photogrammetry and Remote Sensing. 203. 328–344. 15 indexed citations
11.
Tao, Jianbin, et al.. (2022). Exploring cropping intensity dynamics by integrating crop phenology information using Bayesian networks. Computers and Electronics in Agriculture. 193. 106667–106667. 4 indexed citations
12.
Qiu, Bingwen, Chongcheng Chen, Zhenghong Tang, et al.. (2022). Dense canopies browning overshadowed by global greening dominant in sparse canopies. The Science of The Total Environment. 826. 154222–154222. 14 indexed citations
13.
Chen, Zuoqi, Ye Wei, Kaifang Shi, et al.. (2021). The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level. Computers Environment and Urban Systems. 92. 101749–101749. 83 indexed citations
14.
Li, Yu, et al.. (2020). Cropping intensity based on MODIS data in China during 2001-2018. 地理科学进展. 39(11). 1874–1883. 5 indexed citations
15.
Qiu, Bingwen, et al.. (2020). Optimal elevation interval of rice expansion in Northeast China. 地理科学进展. 39(9). 1557–1564. 1 indexed citations
16.
Feng, Min, et al.. (2016). Spatio-temporal Difference of Crops and Natural Vegetation Phenology in China at the Beginning of the 21st Century. Yaogan jishu yu yingyong. 31(5). 1003–1012. 1 indexed citations
17.
Qiu, Bingwen, Zhuangzhuang Wang, Zhenghong Tang, et al.. (2016). A multi-scale spatiotemporal modeling approach to explore vegetation dynamics patterns under global climate change. GIScience & Remote Sensing. 53(5). 596–613. 10 indexed citations
18.
Qiu, Bingwen, Wen Qi, Zhenghong Tang, Chongcheng Chen, & Xiaoqin Wang. (2015). Rice cropping density and intensity lessened in southeast China during the twenty-first century. Environmental Monitoring and Assessment. 188(1). 5–5. 147 indexed citations
19.
Qiu, Bingwen, et al.. (2013). Characterizing spatiotemporal non-stationarity in vegetation dynamics in China using MODIS EVI dataset. Environmental Monitoring and Assessment. 185(11). 9019–9035. 29 indexed citations
20.
Qiu, Bingwen, et al.. (2011). Quantifying spatial heterogeneity of Coniferous trees in ATM, CASI and Eagle airborne images. 198–203. 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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