Muye Gan

3.3k total citations · 1 hit paper
57 papers, 2.7k citations indexed

About

Muye Gan is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Muye Gan has authored 57 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Global and Planetary Change, 22 papers in Ecology and 17 papers in Environmental Engineering. Recurrent topics in Muye Gan's work include Land Use and Ecosystem Services (39 papers), Urban Green Space and Health (10 papers) and Remote Sensing in Agriculture (10 papers). Muye Gan is often cited by papers focused on Land Use and Ecosystem Services (39 papers), Urban Green Space and Health (10 papers) and Remote Sensing in Agriculture (10 papers). Muye Gan collaborates with scholars based in China, United States and United Kingdom. Muye Gan's co-authors include Ke Wang, Jinsong Deng, Mengmeng Zhou, Ke Wang, Shan He, Lingyan Huang, Yue Lin, Yue Su, Amir Reza Shahtahmassebi and Lixia Yang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Muye Gan

54 papers receiving 2.6k citations

Hit Papers

Impacts of urbanization and landscape pattern on habitat ... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muye Gan China 29 1.8k 737 657 526 317 57 2.7k
Yi’na Hu China 23 2.5k 1.4× 954 1.3× 544 0.8× 877 1.7× 305 1.0× 47 3.1k
Zihan Xu China 31 2.1k 1.1× 637 0.9× 664 1.0× 765 1.5× 438 1.4× 60 3.0k
Minghong Tan China 34 1.8k 1.0× 459 0.6× 476 0.7× 454 0.9× 239 0.8× 86 3.0k
Deyong Yu China 30 2.4k 1.3× 987 1.3× 662 1.0× 628 1.2× 261 0.8× 56 3.6k
Yinkang Zhou China 33 2.2k 1.2× 623 0.8× 372 0.6× 306 0.6× 434 1.4× 142 3.2k
Dianfeng Liu China 25 1.2k 0.7× 478 0.6× 250 0.4× 386 0.7× 190 0.6× 66 2.0k
Fengsong Pei China 17 3.0k 1.6× 1.1k 1.4× 735 1.1× 616 1.2× 197 0.6× 25 3.5k
Christine Fürst Germany 30 2.7k 1.4× 610 0.8× 310 0.5× 582 1.1× 412 1.3× 127 3.6k
Yang Bai China 28 2.7k 1.5× 885 1.2× 332 0.5× 666 1.3× 510 1.6× 87 3.6k
Wenfeng Chi China 18 2.9k 1.6× 996 1.4× 896 1.4× 716 1.4× 248 0.8× 37 3.8k

Countries citing papers authored by Muye Gan

Since Specialization
Citations

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

Fields of papers citing papers by Muye Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muye Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Muye Gan. A scholar is included among the top collaborators of Muye Gan 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 Muye Gan. Muye Gan 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
2.
Li, Feng, Iram Naz, Abdul Quddoos, et al.. (2024). Exploring Rangeland Dynamics in Punjab, Pakistan: Integrating LULC, LST, and Remote Sensing for Ecosystem Analysis (2000–2020). Rangeland Ecology & Management. 98. 377–388. 17 indexed citations
3.
Zhang, Jing, et al.. (2024). Spatial identification and evaluation of rural vitality from a function-element-flow perspective: Evidence of Lin’an district in Hangzhou, China. Journal of Geographical Sciences. 34(6). 1228–1250. 5 indexed citations
5.
Abubakar, Ghali Abdullahi, et al.. (2023). Mapping Maize Cropland and Land Cover in Semi-Arid Region in Northern Nigeria Using Machine Learning and Google Earth Engine. Remote Sensing. 15(11). 2835–2835. 14 indexed citations
6.
Zhang, Yingnan, et al.. (2023). The development of multifunctional agriculture in farming regions of China: Convergence or divergence?. Land Use Policy. 127. 106576–106576. 23 indexed citations
7.
Li, Yongjun, Lei Xie, Ling Zhang, et al.. (2022). Understanding different cultural ecosystem services: An exploration of rural landscape preferences based on geographic and social media data. Journal of Environmental Management. 317. 115487–115487. 26 indexed citations
8.
You, Shixue, Qiming Zheng, Binjie Chen, et al.. (2022). Identifying the spatiotemporal dynamics of forest ecotourism values with remotely sensed images and social media data: A perspective of public preferences. Journal of Cleaner Production. 341. 130715–130715. 24 indexed citations
9.
Zhang, Jing, Bingbing Huang, Xinming Chen, Congmou Zhu, & Muye Gan. (2022). Multidimensional Evaluation of the Quality of Rural Life Using Big Data from the Perspective of Common Prosperity. International Journal of Environmental Research and Public Health. 19(21). 14166–14166. 16 indexed citations
10.
Zhu, Congmou, Yue Lin, Jing Zhang, et al.. (2021). Exploring the relationship between rural transition and agricultural eco-environment using a coupling analysis: A case study of Zhejiang Province, China. Ecological Indicators. 127. 107733–107733. 45 indexed citations
11.
Abubakar, Ghali Abdullahi, et al.. (2020). Mapping Maize Fields by Using Multi-Temporal Sentinel-1A and Sentinel-2A Images in Makarfi, Northern Nigeria, Africa. Sustainability. 12(6). 2539–2539. 45 indexed citations
12.
Fu, Yongyong, Kunkun Liu, Zhangquan Shen, et al.. (2019). Mapping Impervious Surfaces in Town–Rural Transition Belts Using China’s GF-2 Imagery and Object-Based Deep CNNs. Remote Sensing. 11(3). 280–280. 34 indexed citations
13.
Ye, Ziran, Yongyong Fu, Muye Gan, et al.. (2019). Building Extraction from Very High Resolution Aerial Imagery Using Joint Attention Deep Neural Network. Remote Sensing. 11(24). 2970–2970. 56 indexed citations
14.
Su, Yue, Ke Wang, Jinsong Deng, et al.. (2019). Quantifying the spatiotemporal dynamics and multi-aspect performance of non-grain production during 2000–2015 at a fine scale. Ecological Indicators. 101. 410–419. 78 indexed citations
15.
Zhou, Mengmeng, Jinsong Deng, Yi Lin, et al.. (2019). Identifying the effects of land use change on sediment export: Integrating sediment source and sediment delivery in the Qiantang River Basin, China. The Science of The Total Environment. 686. 38–49. 61 indexed citations
16.
Xue, Xingyu, Yi Lin, Qiming Zheng, et al.. (2019). Mapping the fine-scale spatial pattern of artificial light pollution at night in urban environments from the perspective of bird habitats. The Science of The Total Environment. 702. 134725–134725. 39 indexed citations
17.
Zhu, Enyan, Mengmeng Zhou, Muye Gan, et al.. (2018). Carbon emissions induced by land-use and land-cover change from 1970 to 2010 in Zhejiang, China. The Science of The Total Environment. 646. 930–939. 184 indexed citations
18.
Shahtahmassebi, Amir Reza, Yue Lin, Lin Lin, et al.. (2017). Reconstructing Historical Land Cover Type and Complexity by Synergistic Use of Landsat Multispectral Scanner and CORONA. Remote Sensing. 9(7). 682–682. 20 indexed citations
19.
Zheng, Xinyu, Bowen Wu, Jing Zhang, et al.. (2017). Rural Settlement Subdivision by Using Landscape Metrics as Spatial Contextual Information. Remote Sensing. 9(5). 486–486. 30 indexed citations
20.
Gan, Muye, Jinsong Deng, Xinyu Zheng, Yang Hong, & Ke Wang. (2014). Monitoring Urban Greenness Dynamics Using Multiple Endmember Spectral Mixture Analysis. PLoS ONE. 9(11). e112202–e112202. 40 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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