Yaxing Wei

7.5k total citations · 2 hit papers
97 papers, 3.1k citations indexed

About

Yaxing Wei is a scholar working on Global and Planetary Change, Information Systems and Atmospheric Science. According to data from OpenAlex, Yaxing Wei has authored 97 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Global and Planetary Change, 21 papers in Information Systems and 20 papers in Atmospheric Science. Recurrent topics in Yaxing Wei's work include Climate variability and models (20 papers), Scientific Computing and Data Management (16 papers) and Distributed and Parallel Computing Systems (14 papers). Yaxing Wei is often cited by papers focused on Climate variability and models (20 papers), Scientific Computing and Data Management (16 papers) and Distributed and Parallel Computing Systems (14 papers). Yaxing Wei collaborates with scholars based in United States, China and France. Yaxing Wei's co-authors include Gyula Eres, Robert B. Cook, Michele Thornton, Peter Thornton, D. H. Lowndes, V. I. Merkulov, Ranjeet Devarakonda, Benjamin Mayer, Liping Di and Edgar Voelkl and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Yaxing Wei

94 papers receiving 3.0k citations

Hit Papers

Daymet: Daily Surface Weather Data on a 1-km Grid for Nor... 2016 2026 2019 2022 2016 2021 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
Yaxing Wei United States 26 1.2k 558 550 479 427 97 3.1k
Xianfeng Zhang China 28 488 0.4× 371 0.7× 246 0.4× 1.0k 2.1× 609 1.4× 159 4.0k
Qiusheng Wu United States 40 2.6k 2.1× 819 1.5× 283 0.5× 1.5k 3.2× 662 1.6× 97 5.4k
Yong Zhang China 31 525 0.4× 578 1.0× 371 0.7× 453 0.9× 203 0.5× 299 3.4k
Xueliang Zhang China 33 1.1k 0.9× 1.0k 1.8× 562 1.0× 1.0k 2.2× 550 1.3× 176 5.1k
Sang-Don Lee South Korea 17 522 0.4× 1.1k 1.9× 106 0.2× 547 1.1× 62 0.1× 115 3.4k
Ming Wang China 30 1.0k 0.8× 311 0.6× 248 0.5× 235 0.5× 123 0.3× 214 3.4k
Wenxin Zhang China 28 651 0.5× 839 1.5× 249 0.5× 339 0.7× 418 1.0× 217 3.0k
Feng Liu China 38 692 0.6× 499 0.9× 286 0.5× 1.1k 2.3× 295 0.7× 148 4.8k
Yihang Zhang China 26 858 0.7× 404 0.7× 117 0.2× 987 2.1× 303 0.7× 107 2.9k
Jindi Wang China 38 2.0k 1.6× 910 1.6× 535 1.0× 2.3k 4.7× 255 0.6× 243 6.2k

Countries citing papers authored by Yaxing Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yaxing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaxing Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Yaxing Wei. A scholar is included among the top collaborators of Yaxing Wei 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 Yaxing Wei. Yaxing Wei 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.
Li, Bingzhen, Yuhua Chen, Qingqing Wu, et al.. (2023). Ultrathin Narrowband and Bidirectional Perfect Metasurface Absorber. Coatings. 13(8). 1340–1340. 6 indexed citations
2.
Jia, Yunjian, et al.. (2023). A Flower Pollination Optimization Algorithm Based on Cosine Cross-Generation Differential Evolution. Sensors. 23(2). 606–606. 9 indexed citations
3.
Wang, Jijun, Yuhua Chen, Yaxing Wei, et al.. (2023). Enhancement of microwave absorption performance of porous carbon induced by Ce (CO3) OH. Frontiers in Chemistry. 10. 1100111–1100111. 5 indexed citations
4.
Fisher, Joshua B., Christopher R. Schwalm, Nicholas C. Parazoo, et al.. (2022). The Terrestrial Biosphere Model Farm. Journal of Advances in Modeling Earth Systems. 14(2). e2021MS002676–e2021MS002676. 6 indexed citations
5.
Downs, Robert R., et al.. (2021). Documentation to Foster Sharing and Use of Open Earth Science Data: Quality Information. Figshare. 1 indexed citations
6.
Thornton, Peter, R. Shrestha, Michele Thornton, et al.. (2021). Gridded daily weather data for North America with comprehensive uncertainty quantification. Scientific Data. 8(1). 190–190. 162 indexed citations breakdown →
7.
Jia, Binghao, Xin Luo, Ximing Cai, et al.. (2020). Impacts of land use change and elevated CO 2 on the interannual variations and seasonal cycles of gross primary productivity in China. Earth System Dynamics. 11(1). 235–249. 21 indexed citations
8.
Zhou, Yu, C. A. Williams, Thomas Lauvaux, et al.. (2020). A Multiyear Gridded Data Ensemble of Surface Biogenic Carbon Fluxes for North America: Evaluation and Analysis of Results. Journal of Geophysical Research Biogeosciences. 125(2). 17 indexed citations
9.
Schwalm, Christopher R., Kevin Schaefer, Joshua B. Fisher, et al.. (2019). Divergence in land surface modeling: linking spread to structure. Environmental Research Communications. 1(11). 111004–111004. 18 indexed citations
10.
Shiga, Yoichi P., A. M. Michalak, Yuanyuan Fang, et al.. (2018). Forests dominate the interannual variability of the North American carbon sink. Environmental Research Letters. 13(8). 84015–84015. 23 indexed citations
11.
Yu, Yan, Michael Notaro, Fuyao Wang, et al.. (2017). Observed positive vegetation-rainfall feedbacks in the Sahel dominated by a moisture recycling mechanism. Nature Communications. 8(1). 1873–1873. 61 indexed citations
12.
Zhou, Sha, Bofu Yu, Christopher R. Schwalm, et al.. (2017). Response of Water Use Efficiency to Global Environmental Change Based on Output From Terrestrial Biosphere Models. Global Biogeochemical Cycles. 31(11). 1639–1655. 79 indexed citations
13.
Wei, Yaxing, et al.. (2016). Revised normalized difference nitrogen index (NDNI) for estimating canopy nitrogen concentration in wetlands. Optik. 127(19). 7676–7688. 27 indexed citations
14.
Poco, Jorge, Aritra Dasgupta, Yaxing Wei, et al.. (2014). Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling. IEEE Transactions on Visualization and Computer Graphics. 20(12). 1923–1932. 23 indexed citations
15.
Wei, Yaxing, S. Liu, D. N. Huntzinger, et al.. (2014). The North American Carbon Program Multi-scale Synthesis and Terrestrial Model Intercomparison Project – Part 2: Environmental driver data. Geoscientific model development. 7(6). 2875–2893. 202 indexed citations
16.
Ludaescher, Bertram, Paolo Missier, Sounak Dey, et al.. (2013). Facilitating Scientific Research through Workflows and Provenance on the DataONE Cyberinfrastructure (Invited). AGU Fall Meeting Abstracts. 2013. 1 indexed citations
17.
Santoro, Mattia, Yaxing Wei, Enrico Boldrini, et al.. (2013). Brokering Services to Evaluate, Visualize, and Analyze Terrestrial Biosphere Model Output and Observations. EGUGA. 1 indexed citations
18.
Hadjerioua, Boualem, Shih‐Chieh Kao, Yaxing Wei, Hoyt Battey, & Brennan Smith. (2012). Non-powered Dams: An untapped source of renewable electricity in the USA. 19(4). 1 indexed citations
20.
Di, Liping, et al.. (2006). Grid-enabled Web Services for Geospatial Interoperability. AGU Spring Meeting Abstracts. 2007. 6 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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