Jifu Yin

1.2k total citations
51 papers, 963 citations indexed

About

Jifu Yin is a scholar working on Atmospheric Science, Environmental Engineering and Mechanical Engineering. According to data from OpenAlex, Jifu Yin has authored 51 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atmospheric Science, 23 papers in Environmental Engineering and 16 papers in Mechanical Engineering. Recurrent topics in Jifu Yin's work include Soil Moisture and Remote Sensing (22 papers), Climate change and permafrost (13 papers) and Refrigeration and Air Conditioning Technologies (13 papers). Jifu Yin is often cited by papers focused on Soil Moisture and Remote Sensing (22 papers), Climate change and permafrost (13 papers) and Refrigeration and Air Conditioning Technologies (13 papers). Jifu Yin collaborates with scholars based in United States, China and United Kingdom. Jifu Yin's co-authors include Pega Hrnjak, Xiwu Zhan, C.W. Bullard, Jicheng Liu, Youfei Zheng, Christopher Hain, Li Fang, Rongjun Wu, Jianguo Tan and Wei Wang and has published in prestigious journals such as PLoS ONE, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Jifu Yin

48 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jifu Yin United States 19 389 371 304 219 143 51 963
Manoj Kumar Sharma India 15 120 0.3× 135 0.4× 350 1.2× 295 1.3× 28 0.2× 36 744
Zhang Hui China 12 300 0.8× 96 0.3× 79 0.3× 201 0.9× 17 0.1× 48 682
Sylvain Ménard Canada 11 40 0.1× 133 0.4× 265 0.9× 185 0.8× 47 0.3× 42 562
Maoshan Li China 15 71 0.2× 112 0.3× 478 1.6× 497 2.3× 59 0.4× 59 842
Yazhen Jiang China 16 29 0.1× 255 0.7× 173 0.6× 306 1.4× 31 0.2× 47 549
James Li Canada 12 33 0.1× 280 0.8× 35 0.1× 104 0.5× 21 0.1× 57 690
Juan Jorge Sánchez Spain 10 56 0.1× 157 0.4× 112 0.4× 110 0.5× 16 0.1× 25 426
Lup Wai Chew Singapore 14 44 0.1× 536 1.4× 110 0.4× 86 0.4× 12 0.1× 34 725
Qifei Zhang China 9 70 0.2× 127 0.3× 69 0.2× 241 1.1× 12 0.1× 20 355

Countries citing papers authored by Jifu Yin

Since Specialization
Citations

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

Fields of papers citing papers by Jifu Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jifu Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Jifu Yin. A scholar is included among the top collaborators of Jifu Yin 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 Jifu Yin. Jifu Yin 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.
Yin, Jifu, Xiwu Zhan, Michael Barlage, et al.. (2023). Refinement of NOAA AMSR-2 Soil Moisture Data Product—Part 2: Development With the Optimal Machine Learning Model. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11.
3.
Yin, Jifu, Xiwu Zhan, Michael Barlage, et al.. (2023). Refinement of NOAA AMSR-2 Soil Moisture Data Product: 1. Intercomparisons of the Commonly Used Machine-Learning Models. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–10.
4.
Yin, Jifu, Xiwu Zhan, Jicheng Liu, et al.. (2020). Near‐real‐time one‐kilometre Soil Moisture Active Passive soil moisture data product. Hydrological Processes. 34(21). 4083–4096. 17 indexed citations
5.
Zhan, Xiwu, Jicheng Liu, Limin Zhao, et al.. (2019). Integration of Satellite Soil Moisture Observations for Numerical Weather and Water Predictions. EGU General Assembly Conference Abstracts. 4307. 2 indexed citations
6.
Yin, Jifu, Xiwu Zhan, Jicheng Liu, & Mitch Schull. (2019). An Intercomparison of Noah Model Skills With Benefits of Assimilating SMOPS Blended and Individual Soil Moisture Retrievals. Water Resources Research. 55(4). 2572–2592. 24 indexed citations
7.
Yin, Jifu, Christopher Hain, Xiwu Zhan, Jiarui Dong, & Michael Ek. (2019). Improvements in the forecasts of near-surface variables in the Global Forecast System (GFS) via assimilating ASCAT soil moisture retrievals. Journal of Hydrology. 578. 124018–124018. 10 indexed citations
8.
Yin, Jifu & Xiwu Zhan. (2018). Impact of Bias-Correction Methods on Effectiveness of Assimilating SMAP Soil Moisture Data into NCEP Global Forecast System Using the Ensemble Kalman Filter. IEEE Geoscience and Remote Sensing Letters. 15(5). 659–663. 18 indexed citations
9.
Zhan, Xiwu, Weizhong Zheng, Li Fang, et al.. (2016). A preliminary assessment of the impact of SMAP Soil Moisture on numerical weather Forecasts from GFS and NUWRF models. Zenodo (CERN European Organization for Nuclear Research). 5229–5232. 12 indexed citations
10.
Yin, Jifu, Xiwu Zhan, Youfei Zheng, et al.. (2015). Improving Noah land surface model performance using near real time surface albedo and green vegetation fraction. Agricultural and Forest Meteorology. 218-219. 171–183. 54 indexed citations
11.
Han, Yang, et al.. (2014). [Nitrous oxide flux at the water-air interface of the rivers in Nanjing during summer].. PubMed. 35(1). 348–55. 4 indexed citations
12.
Yin, Jifu, Xiwu Zhan, Youfei Zheng, et al.. (2014). Enhancing Model Skill by Assimilating SMOPS Blended Soil Moisture Product into Noah Land Surface Model. Journal of Hydrometeorology. 16(2). 917–931. 36 indexed citations
13.
Zhou, Xing, et al.. (2012). Greenhouse Gas Emissions from Sewage Treatment in China during 2000–2009. Advances in Climate Change Research. 3(4). 205–211. 6 indexed citations
14.
Yin, Jifu, et al.. (2011). An analysis of influential factors on outdoor thermal comfort in summer. International Journal of Biometeorology. 56(5). 941–948. 94 indexed citations
15.
Yin, Jifu, et al.. (2003). Experimental results of transcritical CO2 heat pump for residential application. Energy. 28(10). 1005–1019. 63 indexed citations
16.
Bullard, C.W., Jifu Yin, Pega Hrnjak, & Michael Heidenreich. (2002). Compact counterflow gas cooler for R-744. ASHRAE winter conference papers. 487–491. 4 indexed citations
17.
Yin, Jifu, C.W. Bullard, & Pega Hrnjak. (2002). Single-Phase Pressure Drop Measurements in a Microchannel Heat Exchanger. Heat Transfer Engineering. 23(4). 3–12. 42 indexed citations
18.
Bullard, C.W., et al.. (2001). Contribution of Internal Heat Exchanger to Transcritical R-744 Cycle Performance. HVAC&R Research. 7(2). 155–168. 73 indexed citations
19.
Kim, Man-Hoe, Jifu Yin, C.W. Bullard, & Pega Hrnjak. (2000). Development of a Micro-Channel Evaporator Model for a CO2 Mobile Air-Conditioner. Advanced Energy Systems. 47–54. 5 indexed citations
20.
Yin, Jifu, et al.. (1999). Steady State and Cycling Performance of a Typical R134a Mobile A/C System. SAE technical papers on CD-ROM/SAE technical paper series. 1. 17 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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