Yida Fan

639 total citations
31 papers, 492 citations indexed

About

Yida Fan is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology. According to data from OpenAlex, Yida Fan has authored 31 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 12 papers in Global and Planetary Change and 6 papers in Ecology. Recurrent topics in Yida Fan's work include Remote Sensing and Land Use (10 papers), Climate variability and models (5 papers) and Remote Sensing in Agriculture (4 papers). Yida Fan is often cited by papers focused on Remote Sensing and Land Use (10 papers), Climate variability and models (5 papers) and Remote Sensing in Agriculture (4 papers). Yida Fan collaborates with scholars based in China, United States and South Korea. Yida Fan's co-authors include Rui Mao, Dao‐Yi Gong, Peijun Shi, Qing Zhu, Zhiqiang Du, Qi Wen, Daoyi Gong, Jing-Dong Bao, Ping Wang and Peng Zhang and has published in prestigious journals such as Geophysical Research Letters, International Journal of Climatology and Environmental Modelling & Software.

In The Last Decade

Yida Fan

30 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yida Fan China 12 259 207 63 49 45 31 492
Joachim Post Germany 15 291 1.1× 195 0.9× 166 2.6× 65 1.3× 93 2.1× 46 845
Torsten Riedlinger Germany 9 195 0.8× 137 0.7× 79 1.3× 20 0.4× 130 2.9× 37 613
Ying Tu China 16 381 1.5× 115 0.6× 42 0.7× 20 0.4× 69 1.5× 40 791
Luke Smith United Kingdom 8 307 1.2× 196 0.9× 36 0.6× 24 0.5× 34 0.8× 15 486
Godstime K. James Nigeria 6 179 0.7× 60 0.3× 31 0.5× 33 0.7× 36 0.8× 10 390
Ralph Kiefl Germany 7 155 0.6× 107 0.5× 47 0.7× 11 0.2× 140 3.1× 20 524
Emily So United Kingdom 17 156 0.6× 125 0.6× 165 2.6× 25 0.5× 115 2.6× 41 730
Filip Sabo Italy 11 319 1.2× 89 0.4× 36 0.6× 14 0.3× 85 1.9× 30 560
Phil Glassey New Zealand 6 184 0.7× 140 0.7× 30 0.5× 14 0.3× 102 2.3× 14 486
Stella Belliss New Zealand 9 198 0.8× 150 0.7× 30 0.5× 16 0.3× 113 2.5× 26 596

Countries citing papers authored by Yida Fan

Since Specialization
Citations

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

Fields of papers citing papers by Yida Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yida Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Yida Fan. A scholar is included among the top collaborators of Yida Fan 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 Yida Fan. Yida Fan 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.
Wang, Zhiqiang, et al.. (2019). The role of indigenous knowledge in integrating scientific and indigenous knowledge for community-based disaster risk reduction: A case of Haikou Village in Ningxia, China. International Journal of Disaster Risk Reduction. 41. 101309–101309. 40 indexed citations
2.
Wang, Zhiqiang, et al.. (2018). Empirical study on agricultural drought adaptation of typical rainfed areas in Shidian County, China. International Journal of Disaster Risk Reduction. 28. 394–403. 6 indexed citations
3.
Wang, Zhiqiang, Ying Deng, & Yida Fan. (2018). Validation plays the role of a “bridge” in connecting remote sensing research and applications. Advances in Space Research. 62(1). 55–64. 3 indexed citations
4.
Zhu, Qing, et al.. (2017). An On-Demand Retrieval Method Based on Hybrid NoSQL for Multi-Layer Image Tiles in Disaster Reduction Visualization. ISPRS International Journal of Geo-Information. 6(1). 8–8. 4 indexed citations
5.
Fan, Yida, et al.. (2017). Quantifying Disaster Physical Damage Using Remote Sensing Data—A Technical Work Flow and Case Study of the 2014 Ludian Earthquake in China. International Journal of Disaster Risk Science. 8(4). 471–488. 54 indexed citations
6.
Jia, Huicong, Fang Chen, Yida Fan, & Donghua Pan. (2016). Comparison of two large earthquakes in China: The Ms 6.6 Yunnan Jinggu Earthquake and the Ms 6.5 Yunnan Ludian Earthquake in 2014. International Journal of Disaster Risk Reduction. 16. 99–107. 11 indexed citations
7.
Fan, Yida, et al.. (2015). MIMO SAR Using Orthogonal Coding: Design, Performance Analysis, and Verifications. International Journal of Antennas and Propagation. 2015. 1–10. 3 indexed citations
8.
Du, Shihong, et al.. (2015). Estimating the Numbers and the Areas of Collapsed Buildings by Combining VHR Images, Statistics and Survey Data: a Case Study of the Lushan Earthquake in China. Journal of the Indian Society of Remote Sensing. 44(1). 101–110. 2 indexed citations
9.
Ding, Yulin, et al.. (2014). An integrated geospatial information service system for disaster management in China. International Journal of Digital Earth. 8(11). 918–945. 28 indexed citations
10.
Fan, Yida, et al.. (2013). Natural disaster reduction applications of the Chinese small satellite constellation for environment and disaster monitoring and forecasting. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8921. 89211H–89211H. 1 indexed citations
11.
Wu, Jianan, et al.. (2012). The study of natural disasters emergency relief plans deduction conceptual model. 50. 883–887. 2 indexed citations
12.
Fan, Yida, Qi Wen, & Shirong Chen. (2012). Engineering survey of the Environment and Disaster Monitoring and Forecasting Small Satellite Constellation. International Journal of Digital Earth. 5(3). 217–227. 9 indexed citations
13.
Ye, Tao, et al.. (2012). China’s drought disaster risk management: Perspective of severe droughts in 2009–2010. International Journal of Disaster Risk Science. 3(2). 84–97. 52 indexed citations
14.
Liu, Jifu, Yida Fan, & Peijun Shi. (2011). Response to a high-altitude earthquake: The Yushu Earthquake example. International Journal of Disaster Risk Science. 2(1). 43–53. 13 indexed citations
15.
Gong, Dao‐Yi, Rui Mao, Peijun Shi, & Yida Fan. (2007). Correlation between east Asian dust storm frequency and PNA. Geophysical Research Letters. 34(14). 30 indexed citations
16.
Fan, Yida, Peijun Shi, Aijun Zhu, & Yan Guan. (2006). Analysis of connection between dust storm and climate factors in northern China. Ziran zaihai xuebao. 2 indexed citations
17.
Pan, Yaozhong, et al.. (2005). Measurement of ecological capital of Chinese terrestrial ecosystem based on remote sensing. Science in China Series D Earth Sciences. 48(6). 786–796. 27 indexed citations
18.
Chen, Hai, Muyi Kang, & Yida Fan. (2004). Relationship between Dynamic Change of Vegetation Cover and Climate Factors in Farming-Pastoral Zone of North China. Geography and Geo-Information Science. 1 indexed citations
19.
Li, Xiaobing, Yunhao Chen, Yida Fan, & Yunxia Zhang. (2004). Detecting inter-annual variations of vegetation growth based on satellite-sensed vegetation index data from 1983 to 1999. 5. 3263–3265. 4 indexed citations
20.
Fan, Yida. (2003). ADVANCES IN STUDYING DUST STORM USING REMOTE SENSING.

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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