Han Ma

1.9k citations
54 papers · 1.2k · 1 hit paper · h-index 19

Impact in

Papers in

Han Ma

48 papers receiving 1.2k citations

Hit Papers

Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model 2022 · 173 citations
1730+1+2Years since publication50100150

Peers

Han Ma
Comparison fields: 5 of 93
  • Environmental Engineering 530
  • Atmospheric Science 481
  • Global and Planetary Change 554
  • Ecology 385
  • Ecological Modeling 23
Replace Yuechen Li with:
Yuechen Li China
Jun Shi China
Shi Chen China
Thomas E. L. Smith United Kingdom
Chunyu Dong China
Yanan Liu China
Wenliang Li China
Xueqin Zhang China
Jorge E. González United States
Han Ma relative to Yuechen Li China Yuechen Li's profile →
Citations per field
00.5×2.5×
Yuechen Li · 1×
Citations per year

Countries citing papers authored by Han Ma

Since Specialization
Citations

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

Fields of papers citing papers by Han Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Han Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Han Ma Line = papers co-authored together Han Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model
Hit paper breakdown →
2022173
2 202181
3 201880
4 202277
5 201975
6 202373
7 201958
8 202144
9 201444
10 201641
11 202138
12 202336
13 201635
14 201726
15 201725
16 202025
17 202124
18 201521
19 202319
20 201918

About Han Ma

Han Ma is a scholar working on Environmental Engineering, Global and Planetary Change, Ecology, Atmospheric Science and Nature and Landscape Conservation, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (24 papers), Urban Heat Island Mitigation (14 papers), Remote Sensing and LiDAR Applications (10 papers), Cryospheric studies and observations (8 papers), Atmospheric aerosols and clouds (8 papers), Climate variability and models (7 papers), Meteorological Phenomena and Simulations (6 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). The work is most often cited by research in Environmental Engineering (530 citations), Atmospheric Science (481 citations), Global and Planetary Change (554 citations), Ecology (385 citations) and Ecological Modeling (23 citations). Han Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shunlin Liang, Tao He, Zhiqiang Xiao, Aolin Jia, Hanyu Shi, Dongdong Wang, Yufang Zhang, Zhiliang Zhu, Bing Li and Jindi Wang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing of Environment, Earth system science data, Remote Sensing and ISPRS Journal of Photogrammetry and 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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