Haolin Liang

553 citations
10 papers · 439 indexed · 1 hit paper · h-index 5
Topics
Advanced Image Processing Techniques (3 papers)Advanced Vision and Imaging (2 papers)Land Use and Ecosystem Services (2 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsDigital Signal Processing
Partner nations
ChinaUnited States

In The Last Decade

Haolin Liang

9 papers receiving 432 citations

Hit Papers

Classifying urban land use by integrating remote sensing ...2017202620202023201750100150200250

Peers

Haolin Liang
Comparison fields: 5 of 65
  • Global and Planetary Change 226
  • Transportation 179
  • Media Technology 116
  • Atmospheric Science 62
  • Computer Vision and Pattern Recognition 61
Replace John E. Vargas-Muñoz with:
John E. Vargas-Muñoz Brazil
Jialyu He China
Ximeng Cheng China
Ruoxin Zhu China
Hanqing Bao China
Keqi Zhou China
Shouji Du China
Fei Tao China
Jinzhou Cao China
Haolin Liang relative to John E. Vargas-Muñoz Brazil John E. Vargas-Muñoz's profile →
Citations per field
00.5×1.5×2.4×
John E. Vargas-Muñoz · 1×
Citations per year

Countries citing papers authored by Haolin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Haolin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haolin Liang

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 0
3 19
4 3
5 22
6 3
7 2
8 74
9
Classifying urban land use by integrating remote sensing and social media databreakdown →
297
10 17

About Haolin Liang

Haolin Liang is a scholar working on Transportation, Media Technology and Health Information Management, having authored 10 papers that have together received 439 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (3 papers), Advanced Vision and Imaging (2 papers) and Land Use and Ecosystem Services (2 papers). The work is most often cited by research in Transportation (179 citations), Media Technology (116 citations) and Global and Planetary Change (226 citations). Haolin Liang has collaborated with scholars based in China and United States. Frequent co-authors include Jinbao Zhang, Yao Yao, Jialyu He, Ye Hong, Xiaoping Liu, Xiaohong Chen, Yi Wang, Huaiyu Cai, Xia Li and Yao Yao. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Digital Signal Processing.

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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