Yingying Tian

2.3k total citations
43 papers, 1.8k citations indexed

About

Yingying Tian is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and General Agricultural and Biological Sciences. According to data from OpenAlex, Yingying Tian has authored 43 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Management, Monitoring, Policy and Law, 22 papers in Global and Planetary Change and 5 papers in General Agricultural and Biological Sciences. Recurrent topics in Yingying Tian's work include Landslides and related hazards (23 papers), Land Use and Ecosystem Services (12 papers) and Flood Risk Assessment and Management (8 papers). Yingying Tian is often cited by papers focused on Landslides and related hazards (23 papers), Land Use and Ecosystem Services (12 papers) and Flood Risk Assessment and Management (8 papers). Yingying Tian collaborates with scholars based in China, Iran and Malaysia. Yingying Tian's co-authors include Guanghui Jiang, Dingyang Zhou, Chong Xu, Haoyuan Hong, Siyuan Ma, Ataollah Shirzadi, Wei Chen, Himan Shahabi, Xiwei Xu and Qing Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and International Journal of Hydrogen Energy.

In The Last Decade

Yingying Tian

42 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingying Tian China 24 1.1k 1.0k 354 231 200 43 1.8k
Raju Sarkar India 24 692 0.7× 725 0.7× 335 0.9× 186 0.8× 155 0.8× 74 1.5k
Sushant K. Singh India 20 752 0.7× 744 0.7× 220 0.6× 194 0.8× 182 0.9× 49 1.9k
Arif Çağdaş Aydınoğlu Türkiye 15 708 0.7× 734 0.7× 171 0.5× 137 0.6× 162 0.8× 55 1.3k
Susana Pereira Portugal 20 1.2k 1.1× 872 0.9× 466 1.3× 162 0.7× 173 0.9× 59 1.6k
Majid Shadman Roodposhti Australia 14 727 0.7× 627 0.6× 203 0.6× 114 0.5× 149 0.7× 18 1.2k
D. Clarke United Kingdom 21 794 0.7× 268 0.3× 198 0.6× 76 0.3× 66 0.3× 47 1.8k
Sk Ajim Ali India 24 912 0.9× 518 0.5× 274 0.8× 109 0.5× 96 0.5× 50 1.7k
Elmar Csaplovics Germany 14 693 0.7× 389 0.4× 196 0.6× 90 0.4× 72 0.4× 44 1.1k
Maria Papathoma-Köhle Austria 25 1.4k 1.3× 775 0.8× 577 1.6× 57 0.2× 178 0.9× 40 2.1k

Countries citing papers authored by Yingying Tian

Since Specialization
Citations

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

Fields of papers citing papers by Yingying Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingying Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Yingying Tian. A scholar is included among the top collaborators of Yingying Tian 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 Yingying Tian. Yingying Tian 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.
Tian, Yingying, et al.. (2025). Energy poverty, digital economy, and financial deepening: A study of regional differences based on transportation geography. International Journal of Hydrogen Energy. 131. 287–297. 1 indexed citations
2.
Huang, Yuandong, Chong Xu, Xiangli He, et al.. (2025). Landslides induced by the 2023 Jishishan Ms6.2 earthquake (NW China): spatial distribution characteristics and implication for the seismogenic fault. SHILAP Revista de lepidopterología. 2(1). 8 indexed citations
6.
Liu, Chunru, Yingying Tian, Xi Ma, et al.. (2023). Chronology analysis of huge landslide based on ESR dating materials on sliding face in carbonate areas of south eastern Tibet. Quaternary Geochronology. 76. 101442–101442. 4 indexed citations
7.
Zhou, Tao, Guanghui Jiang, Wenqiu Ma, et al.. (2023). A framework for identifying the distribution of revitalization potential of idle rural residential land under rural revitalization. Land Use Policy. 136. 106977–106977. 12 indexed citations
8.
Zhao, Qinglei, et al.. (2022). Multifunction change of rural housing land in metropolitan suburbs from the perspective of farmer households’ land-use behavior. Land Use Policy. 119. 106206–106206. 20 indexed citations
9.
Tian, Yingying, Guanghui Jiang, Dingyang Zhou, et al.. (2022). Cropland-grassland use conversions in the agro-pastoral areas of the Tibetan Plateau: Spatiotemporal pattern and driving mechanisms. Ecological Indicators. 146. 109819–109819. 9 indexed citations
10.
Zhou, Dingyang, et al.. (2021). Spatial and temporal characteristics of different types of pollution-intensive industries in the Beijing-Tianjin-Hebei region in China by using land use data. Journal of Cleaner Production. 329. 129601–129601. 26 indexed citations
11.
Tian, Yingying, Dingyang Zhou, & Guanghui Jiang. (2021). A new quality management system of admittance indicators to improve industrial land use efficiency in the Beijing−Tianjin−Hebei region. Land Use Policy. 107. 105456–105456. 28 indexed citations
12.
Tian, Yingying, Guanghui Jiang, Dingyang Zhou, & Guangyong Li. (2020). Heterogeneity and regional differences in ecosystem services responses driven by the “Three Modernizations”. Land Degradation and Development. 32(13). 3743–3761. 7 indexed citations
13.
Shao, Xiaoyi, Siyuan Ma, Chong Xu, et al.. (2019). Planet Image-Based Inventorying and Machine Learning-Based Susceptibility Mapping for the Landslides Triggered by the 2018 Mw6.6 Tomakomai, Japan Earthquake. Remote Sensing. 11(8). 978–978. 81 indexed citations
15.
Tian, Yingying, Xingqiang Wu, Qichao Zhou, et al.. (2018). Distribution of Aerobic Anoxygenic Phototrophsin Freshwater Plateau Lakes. Polish Journal of Environmental Studies. 27(2). 871–879. 5 indexed citations
16.
Tian, Yingying, et al.. (2018). Inventory and Spatial Distribution of Landslides Triggered by the 8th August 2017 MW 6.5 Jiuzhaigou Earthquake, China. Journal of Earth Science. 30(1). 206–217. 114 indexed citations
17.
Tian, Yingying, Chong Xu, Haoyuan Hong, Qing Zhou, & Duo Wang. (2018). Mapping earthquake-triggered landslide susceptibility by use of artificial neural network (ANN) models: an example of the 2013 Minxian (China) Mw 5.9 event. Geomatics Natural Hazards and Risk. 10(1). 1–25. 92 indexed citations
18.
Bui, Dieu Tien, Himan Shahabi, Ataollah Shirzadi, et al.. (2018). Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia. Remote Sensing. 10(10). 1527–1527. 140 indexed citations
20.
Tian, Yingying, Chong Xu, Jian Chen, & Haoyuan Hong. (2016). Spatial distribution and susceptibility analyses of pre-earthquake and coseismic landslides related to the Ms 6.5 earthquake of 2014 in Ludian, Yunan, China. Geocarto International. 32(9). 978–989. 25 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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