Linshan Liu

4.3k total citations · 1 hit paper
120 papers, 3.3k citations indexed

About

Linshan Liu is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Linshan Liu has authored 120 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Global and Planetary Change, 42 papers in Ecology and 35 papers in Atmospheric Science. Recurrent topics in Linshan Liu's work include Land Use and Ecosystem Services (33 papers), Remote Sensing in Agriculture (21 papers) and Cryospheric studies and observations (19 papers). Linshan Liu is often cited by papers focused on Land Use and Ecosystem Services (33 papers), Remote Sensing in Agriculture (21 papers) and Cryospheric studies and observations (19 papers). Linshan Liu collaborates with scholars based in China, Nepal and India. Linshan Liu's co-authors include Yili Zhang, Mingjun Ding, Yong Nie, Zhaofeng Wang, Shicheng Li, Basanta Paudel, Jungang Gao, Wanqi Bai, Zhaofeng Wang and Lanhui Li and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and PLoS ONE.

In The Last Decade

Linshan Liu

110 papers receiving 3.3k citations

Hit Papers

A regional-scale assessment of Himalayan glacial lake cha... 2016 2026 2019 2022 2016 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
Linshan Liu China 31 1.7k 1.3k 1.0k 506 388 120 3.3k
Xianli Wang Canada 32 2.1k 1.3× 892 0.7× 489 0.5× 521 1.0× 267 0.7× 97 3.2k
Yang Xiao China 27 2.6k 1.6× 1.0k 0.8× 287 0.3× 574 1.1× 240 0.6× 67 3.7k
Hao Guo China 29 2.6k 1.6× 946 0.7× 1.3k 1.3× 395 0.8× 141 0.4× 89 3.7k
Rajiv Kumar Chaturvedi India 18 2.3k 1.4× 1.1k 0.8× 672 0.7× 230 0.5× 230 0.6× 48 3.2k
Jianshuang Wu China 35 1.5k 0.9× 1.4k 1.1× 605 0.6× 879 1.7× 284 0.7× 94 3.4k
Erfu Dai China 32 2.3k 1.4× 818 0.6× 526 0.5× 310 0.6× 145 0.4× 126 3.2k
Shicheng Li China 30 1.9k 1.1× 899 0.7× 470 0.5× 515 1.0× 192 0.5× 102 2.9k
Chunzhen Liu China 7 2.0k 1.2× 902 0.7× 815 0.8× 154 0.3× 371 1.0× 11 4.0k
Haipeng Yu China 22 2.5k 1.5× 701 0.5× 1.3k 1.3× 195 0.4× 125 0.3× 83 3.9k
Juntao Zhu China 32 1.5k 0.9× 1.1k 0.9× 741 0.7× 305 0.6× 248 0.6× 120 3.0k

Countries citing papers authored by Linshan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Linshan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linshan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Linshan Liu. A scholar is included among the top collaborators of Linshan Liu 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 Linshan Liu. Linshan Liu 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.
Chapagain, Prem Sagar, Md. Nurul Islam, Suresh Chand, et al.. (2025). Weather information sources, sharing platforms, and trustworthiness for climate change adaptation in Bangladesh, India, and Nepal. Climate and Development. 18(3). 197–207.
2.
Yang, Yumeng, Linshan Liu, Xinjun Xu, et al.. (2025). C 70 /C 60 : Efficient Electron Transport Layer for High-Performance Perovskite Solar Cells. ACS Applied Energy Materials. 8(24). 18213–18222.
3.
Nepal, Pashupati, et al.. (2025). Governance on provision of ecosystem and its services in Nepal: Lessons from appraisal of policy, legislation, and institution. Geography and sustainability. 6(4). 100263–100263. 2 indexed citations
4.
Guo, Shengzhu, Linshan Liu, Yanqing Fan, et al.. (2025). Naphthalene Diimide-Embedded Donor–Acceptor Carbon Nanohoops: Photophysical, Photoconductive, and Charge Transport Properties. ACS Applied Materials & Interfaces. 17(3). 5202–5212. 6 indexed citations
5.
Wei, Bo, Yili Zhang, Linshan Liu, et al.. (2024). Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images. Remote Sensing. 17(1). 78–78. 1 indexed citations
6.
Wu, Bobo, Mingjun Ding, Hua Zhang, et al.. (2023). Reduced soil multifunctionality and microbial network complexity in degraded and revegetated alpine meadows. Journal of Environmental Management. 343. 118182–118182. 25 indexed citations
7.
Li, Wang, Linshan Liu, Zhuxia Zhang, et al.. (2023). Structure and single-molecule conductance of two endohedral metallofullerenes with large C88cage. Nanoscale. 15(33). 13645–13652. 1 indexed citations
8.
Paudel, Basanta, Yili Zhang, Pashupati Nepal, et al.. (2023). Appraisal of Empirical Studies on Land-Use and Land-Cover Changes and Their Impact on Ecosystem Services in Nepal Himalaya. Sustainability. 15(9). 7134–7134. 11 indexed citations
9.
Rai, Raju, et al.. (2022). Use of the MaxEnt model to predict changes in sloth bear (Melursus ursinus) habitats in the Gandaki River Basin, Nepal. Journal of Mountain Science. 19(7). 1988–1997. 3 indexed citations
10.
Paudel, Basanta, Prem Sagar Chapagain, Yili Zhang, et al.. (2022). Perception and Understanding of Climate Change and Its Impact in Gandaki River Basin, Central Himalaya, Nepal. Atmosphere. 13(12). 2069–2069. 3 indexed citations
12.
Wu, Xue, et al.. (2021). Land use and land cover change within the Koshi River Basin of the central Himalayas since 1990. Journal of Mountain Science. 18(1). 159–177. 19 indexed citations
14.
Liu, Qionghuan, Linshan Liu, Yili Zhang, et al.. (2021). Identification of impact factors for differentiated patterns of NDVI change in the headwater source region of Brahmaputra and Indus, Southwestern Tibetan Plateau. Ecological Indicators. 125. 107604–107604. 24 indexed citations
15.
Zhao, Pei, Qiong Chen, Shicheng Li, et al.. (2020). Forest Cover Change and the Effectiveness of Protected Areas in the Himalaya since 1998. Sustainability. 12(15). 6123–6123. 15 indexed citations
16.
Li, Lanhui, Yili Zhang, Linshan Liu, et al.. (2020). Mapping Changing Population Distribution on the Qinghai–Tibet Plateau since 2000 with Multi-Temporal Remote Sensing and Point-of-Interest Data. Remote Sensing. 12(24). 4059–4059. 19 indexed citations
17.
Nepal, Pashupati, Narendra Raj Khanal, Yili Zhang, Basanta Paudel, & Linshan Liu. (2020). Land use policies in Nepal: An overview. Land Degradation and Development. 31(16). 2203–2212. 27 indexed citations
18.
Li, Lanhui, Yili Zhang, Linshan Liu, et al.. (2018). Current challenges in distinguishing climatic and anthropogenic contributions to alpine grassland variation on the Tibetan Plateau. Ecology and Evolution. 8(11). 5949–5963. 77 indexed citations
19.
Li, Lanhui, Yili Zhang, Linshan Liu, et al.. (2018). Spatiotemporal Patterns of Vegetation Greenness Change and Associated Climatic and Anthropogenic Drivers on the Tibetan Plateau during 2000–2015. Remote Sensing. 10(10). 1525–1525. 88 indexed citations
20.
Zhang, Yili, et al.. (2018). Exploring the Factors Driving Changes in Farmland within the Tumen/Tuman River Basin. ISPRS International Journal of Geo-Information. 7(9). 352–352. 7 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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