Mi Jun

1.9k total citations · 2 hit papers
16 papers, 1.2k citations indexed

About

Mi Jun is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Mi Jun has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Global and Planetary Change, 6 papers in Ecology and 4 papers in Environmental Engineering. Recurrent topics in Mi Jun's work include Land Use and Ecosystem Services (6 papers), Remote Sensing in Agriculture (4 papers) and Remote Sensing and LiDAR Applications (3 papers). Mi Jun is often cited by papers focused on Land Use and Ecosystem Services (6 papers), Remote Sensing in Agriculture (4 papers) and Remote Sensing and LiDAR Applications (3 papers). Mi Jun collaborates with scholars based in China. Mi Jun's co-authors include Liangyun Liu, Xidong Chen, Yuan Gao, Xiao Zhang, Shuai Xie, Tingting Zhao, Xiao Zhang, Wendi Liu, Jinqing Wang and Shangrong Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Hydrology and earth system sciences.

In The Last Decade

Mi Jun

14 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery

2021 715 citations Xiao Zhang, Liangyun Liu et al. Earth system science data profile →
GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020

2023 103 citations Xiao Zhang, Liangyun Liu et al. Earth system science data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mi Jun China	8	826	667	349	346	118	16	1.2k
James D. Hurd United States	13	771 0.9×	397 0.6×	326 0.9×	264 0.8×	162 1.4×	35	1.1k
Yaomin Zheng China	10	632 0.8×	539 0.8×	196 0.6×	152 0.4×	86 0.7×	20	945
Xiaomei Yang China	24	718 0.9×	573 0.9×	203 0.6×	435 1.3×	198 1.7×	87	1.5k
Youyue Wen China	17	1.1k 1.3×	555 0.8×	295 0.8×	262 0.8×	30 0.3×	27	1.3k
Bruce W. Pengra United States	12	691 0.8×	1.1k 1.7×	270 0.8×	220 0.6×	204 1.7×	13	1.5k
Malcolm Taberner Italy	21	940 1.1×	839 1.3×	446 1.3×	360 1.0×	125 1.1×	35	1.4k
Maria Lanfredi Italy	19	502 0.6×	308 0.5×	175 0.5×	156 0.5×	52 0.4×	50	833
Stephan Bojinski Switzerland	10	741 0.9×	277 0.4×	276 0.8×	710 2.1×	59 0.5×	23	1.4k
Catherine Ticehurst Australia	18	722 0.9×	721 1.1×	374 1.1×	241 0.7×	211 1.8×	58	1.5k
Xiaodong Huang China	24	625 0.8×	330 0.5×	328 0.9×	1.4k 4.1×	29 0.2×	61	1.9k

Countries citing papers authored by Mi Jun

Since Specialization

Citations

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

Fields of papers citing papers by Mi Jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Mi Jun. A scholar is included among the top collaborators of Mi Jun 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 Mi Jun. Mi Jun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Jun, Mi, Bingqing Li, Zhiyi Wang, et al.. (2024). Densification, hydrogen retention, microstructure, and mechanical properties of ε-ZrH2- monolith fabricated by high-pressure spark plasma sintering. Journal of the European Ceramic Society. 44(11). 6179–6191. 2 indexed citations

Zhang, Xiao, Liangyun Liu, Tingting Zhao, et al.. (2023). GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020. Earth system science data. 15(1). 265–293. 103 indexed citations breakdown →

Zhao, Tingting, Xiao Zhang, Yuan Gao, et al.. (2023). Assessing the Accuracy and Consistency of Six Fine-Resolution Global Land Cover Products Using a Novel Stratified Random Sampling Validation Dataset. Remote Sensing. 15(9). 2285–2285. 30 indexed citations

Zhang, Xiao, Liangyun Liu, Tingting Zhao, et al.. (2022). GISD30: global 30 m impervious-surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform. Earth system science data. 14(4). 1831–1856. 129 indexed citations

Chen, Xidong, Liangyun Liu, Xiao Zhang, et al.. (2022). Long-term water clarity patterns of lakes across China using Landsat series imagery from 1985 to 2020. Hydrology and earth system sciences. 26(13). 3517–3536. 13 indexed citations

Wan, Shun, Yang He, Bin Zhang, et al.. (2022). Overexpression of CDCA8 Predicts Poor Prognosis and Promotes Tumor Cell Growth in Prostate Cancer. Frontiers in Oncology. 12. 784183–784183. 13 indexed citations

Jun, Mi, et al.. (2022). An Accurate and Efficient Crowd Detection Model for Smart Energy Management Based on YOLOv5. 2. 950–955.

Zhang, Xiao, Liangyun Liu, Xidong Chen, et al.. (2021). GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery. Earth system science data. 13(6). 2753–2776. 715 indexed citations breakdown →

Liu, Liangyun, Xiao Zhang, Yuan Gao, et al.. (2021). Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects. SHILAP Revista de lepidopterología. 2021. 137 indexed citations

10.

Gao, Yuan, Liangyun Liu, Xiao Zhang, et al.. (2020). Consistency Analysis and Accuracy Assessment of Three Global 30-m Land-Cover Products over the European Union using the LUCAS Dataset. Remote Sensing. 12(21). 3479–3479. 79 indexed citations

11.

Jun, Mi, Qi Zhang, & Guohua Qu. (2020). Research on the Evaluation Index System and Measurement of High-quality Economic Development in Central China in the New Era. Solid State Technology. 2451–2466.

12.

Liu, Chang, Shuangshuang Wang, Man Liu, et al.. (2020). Y-27632 Enriches the Yield of Human Melanocytes from Adult Skin Tissues. Journal of Visualized Experiments. 3 indexed citations

13.

Wang, Shuangshuang, Man Liu, Fuxiang Bai, et al.. (2020). Y-27632 Enriches the Yield of Human Melanocytes from Adult Skin Tissues. Journal of Visualized Experiments. 1 indexed citations

14.

Jun, Mi & Yulin Luo. (2018). Study on the Overall Construction of Mountainous Town based on the Concept of The Sponge City. SHILAP Revista de lepidopterología. 175. 4009–4009. 2 indexed citations

15.

Qi, Wenhua, et al.. (2010). [Behavior ethogram and PAE coding system of Cervus nippon sichuanicus].. PubMed. 21(2). 442–51. 5 indexed citations

16.

Jun, Mi, et al.. (2004). Mechanism of the Reaction H＋CH<sub>2</sub>CO:G2 Calculation. Acta Physico-Chimica Sinica. 20(5). 483–487. 4 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.

Explore authors with similar magnitude of impact