Jie Pei

725 total citations
20 papers, 543 citations indexed

About

Jie Pei is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Jie Pei has authored 20 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 8 papers in Ecology and 6 papers in Environmental Engineering. Recurrent topics in Jie Pei's work include Remote Sensing in Agriculture (8 papers), Air Quality and Health Impacts (4 papers) and Atmospheric chemistry and aerosols (4 papers). Jie Pei is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Air Quality and Health Impacts (4 papers) and Atmospheric chemistry and aerosols (4 papers). Jie Pei collaborates with scholars based in China, United States and Rwanda. Jie Pei's co-authors include Jian Wang, Haifeng Tian, Zheng Niu, Ni Huang, Li Wang, Yuchu Qin, Jianxi Huang, Yaochen Qin, Boyan Zhou and Xuecao Li and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Jie Pei

18 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jie Pei China 10 234 195 150 101 74 20 543
Shi Chen China 17 347 1.5× 312 1.6× 187 1.2× 186 1.8× 56 0.8× 35 777
Bambang H. Trisasongko Indonesia 12 189 0.8× 213 1.1× 146 1.0× 82 0.8× 63 0.9× 67 570
Jiaying He China 14 276 1.2× 282 1.4× 166 1.1× 140 1.4× 33 0.4× 57 812
Mahlatse Kganyago South Africa 12 254 1.1× 262 1.3× 154 1.0× 128 1.3× 124 1.7× 49 639
Chaoya Dang China 12 354 1.5× 204 1.0× 129 0.9× 111 1.1× 68 0.9× 30 547
Gohar Ghazaryan Germany 17 369 1.6× 279 1.4× 108 0.7× 91 0.9× 124 1.7× 45 763
Jianbo Tan China 15 372 1.6× 264 1.4× 138 0.9× 92 0.9× 61 0.8× 35 589
Çiğdem Göksel Türkiye 13 217 0.9× 180 0.9× 138 0.9× 71 0.7× 33 0.4× 41 501

Countries citing papers authored by Jie Pei

Since Specialization
Citations

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

Fields of papers citing papers by Jie Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Pei. A scholar is included among the top collaborators of Jie Pei 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 Jie Pei. Jie Pei 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.
Pei, Jie, Yinan He, Tianxing Wang, et al.. (2025). A Novel Hybrid-DCNN-Based Framework for Enhanced Rice Aboveground Biomass Estimation Under Limited Samples. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.
2.
Pei, Jie, et al.. (2024). A temperature-sensitive points selection method for machine tool based on rough set and multi-objective adaptive hybrid evolutionary algorithm. Advanced Engineering Informatics. 62. 102844–102844. 3 indexed citations
3.
Hu, Liyan, Shaoke Guo, Mengli Cao, et al.. (2024). Whole-transcriptome sequencing analysis to identify key circRNAs, miRNAs, and mRNAs in the development of yak testes. BMC Genomics. 25(1). 824–824. 1 indexed citations
4.
Pei, Jie, Zhaozhong Feng, Ming Chang, et al.. (2024). Long-term trajectory of ozone impact on maize and soybean yields in the United States: A 40-year spatial-temporal analysis. Environmental Pollution. 344. 123407–123407. 9 indexed citations
5.
Pei, Jie, Chunhua Liao, Jian Wang, et al.. (2024). The role of phenology in crop yield prediction: Comparison of ground-based phenology and remotely sensed phenology. Agricultural and Forest Meteorology. 361. 110340–110340. 13 indexed citations
6.
Pei, Jie, et al.. (2024). Downscaling Administrative-Level Crop Yield Statistics to 1 km Grids Using Multisource Remote Sensing Data and Ensemble Machine Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 14437–14453. 6 indexed citations
7.
Du, Chenxi, Jie Pei, & Zhaozhong Feng. (2024). Unraveling the complex interactions between ozone pollution and agricultural productivity in China's main winter wheat region using an interpretable machine learning framework. The Science of The Total Environment. 954. 176293–176293. 6 indexed citations
8.
Chen, Dairong, Chunhua Liao, Yue Wu, et al.. (2023). Crop NDVI time series construction by fusing Sentinel-1, Sentinel-2, and environmental data with an ensemble-based framework. Computers and Electronics in Agriculture. 215. 108388–108388. 15 indexed citations
9.
10.
Pei, Jie, et al.. (2022). Evaluating the Accuracy and Spatial Agreement of Five Global Land Cover Datasets in the Ecologically Vulnerable South China Karst. Remote Sensing. 14(13). 3090–3090. 22 indexed citations
11.
Pei, Jie, Li Wang, Li Wang, et al.. (2022). Characterization and attribution of vegetation dynamics in the ecologically fragile South China Karst: Evidence from three decadal Landsat observations. Frontiers in Plant Science. 13. 1043389–1043389. 7 indexed citations
13.
Tian, Haifeng, Jian Wang, Jie Pei, et al.. (2020). High Spatiotemporal Resolution Mapping of Surface Water in the Southwest Poyang Lake and Its Responses to Climate Oscillations. Sensors. 20(17). 4872–4872. 6 indexed citations
14.
Tian, Haifeng, Jie Pei, Jianxi Huang, et al.. (2020). Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China. Remote Sensing. 12(21). 3539–3539. 133 indexed citations
15.
Liu, Zhengjun, et al.. (2020). Power Line Simulation for Safety Distance Detection Using Point Clouds. IEEE Access. 1–1.
16.
Meng, Meng, Ni Huang, Mingquan Wu, et al.. (2019). Vegetation change in response to climate factors and human activities on the Mongolian Plateau. PeerJ. 7. e7735–e7735. 43 indexed citations
17.
Tian, Haifeng, Ni Huang, Zheng Niu, et al.. (2019). Mapping Winter Crops in China with Multi-Source Satellite Imagery and Phenology-Based Algorithm. Remote Sensing. 11(7). 820–820. 181 indexed citations
18.
Pei, Jie, Zheng Niu, Li Wang, et al.. (2018). Spatial-temporal dynamics of carbon emissions and carbon sinks in economically developed areas of China: a case study of Guangdong Province. Scientific Reports. 8(1). 13383–13383. 66 indexed citations
19.
Wei, Zaishan, et al.. (2017). Effect of gaseous mercury on nitric oxide removal performance and microbial community of a hybrid catalytic membrane biofilm reactor. Chemical Engineering Journal. 316. 584–591. 12 indexed citations
20.
Huang, Zhitao, et al.. (2017). Combined membrane photocatalytic ozonation and wet absorption of elemental mercury. Atmospheric Pollution Research. 9(2). 230–237. 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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