Ming Hao

1.9k citations
89 papers · 1.4k · 1 hit paper · h-index 19

Impact in

Papers in

Ming Hao

83 papers receiving 1.3k citations

Ming Hao's Hit Papers

Change detection method for remote sensing images based on an improved Markov random field 2015 · 80 citations
800+3+7Years since publication255075

Peers

Ming Hao
Comparison fields: 5 of 89
  • Media Technology 755
  • Atmospheric Science 517
  • Ecology 378
  • Computer Vision and Pattern Recognition 300
  • Environmental Engineering 138
Replace Chunping Qiu with:
Chunping Qiu China
Xianju Li China
Giovanna Trianni Italy
Jian Kang China
Ruyi Feng China
Dimitrios Marmanis Germany
Yuqi Tang China
Erzhu Li China
Xiong Xu China
Yunhao Gao China
Ming Hao relative to Chunping Qiu China Chunping Qiu's profile →
Citations per field
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Chunping Qiu · 1×
Citations per year

Countries citing papers authored by Ming Hao

Since Specialization
Citations

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

Fields of papers citing papers by Ming Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Hao, 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 Ming Hao Line = papers co-authored together Ming Hao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017118
2 202088
3
Change detection method for remote sensing images based on an improved Markov random field
Hit paper breakdown →
201580
4 201377
5 201770
6 201770
7 201659
8 201357
9 201350
10 201846
11 201934
12 201426
13 201625
14 202124
15 201523
16 201822
17 201721
18 201920
19 201318
20 202117

About Ming Hao

Ming Hao is a scholar working on Media Technology, Atmospheric Science, Aerospace Engineering, Artificial Intelligence and Ecology, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (50 papers), Remote Sensing and Land Use (40 papers), Remote Sensing in Agriculture (15 papers), Geochemistry and Geologic Mapping (10 papers), Advanced Image Fusion Techniques (9 papers), Automated Road and Building Extraction (8 papers), Advanced SAR Imaging Techniques (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Media Technology (755 citations), Atmospheric Science (517 citations), Ecology (378 citations), Computer Vision and Pattern Recognition (300 citations) and Environmental Engineering (138 citations). Ming Hao has collaborated with scholars based in China, Hong Kong and Italy. Frequent co-authors include Wenzhong Shi, Zhang Hua, Kazhong Deng, Zhihan Lv, Zhenxuan Li, Wei Gu, Yuanxin Ye, Xu Zhu, Li Shen and Jicheng Wang. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, Remote Sensing Letters, International Journal of Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 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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