Haolin Liang

553 total citations · 1 hit paper
10 papers, 439 citations indexed

About

Haolin Liang is a scholar working on Computer Vision and Pattern Recognition, Transportation and Media Technology. According to data from OpenAlex, Haolin Liang has authored 10 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Transportation and 2 papers in Media Technology. Recurrent topics in Haolin Liang's work include Advanced Image Processing Techniques (3 papers), Advanced Vision and Imaging (2 papers) and Land Use and Ecosystem Services (2 papers). Haolin Liang is often cited by papers focused on Advanced Image Processing Techniques (3 papers), Advanced Vision and Imaging (2 papers) and Land Use and Ecosystem Services (2 papers). Haolin Liang collaborates with scholars based in China and United States. Haolin Liang's co-authors include Jinbao Zhang, Yao Yao, Jialyu He, Ye Hong, Xiaoping Liu, Xiaohong Chen, Yi Wang, Huaiyu Cai, Xia Li and Yao Yao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Digital Signal Processing.

In The Last Decade

Haolin Liang

9 papers receiving 432 citations

Hit Papers

Classifying urban land use by integrating remote sensing ... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haolin Liang China 5 226 179 116 62 61 10 439
Jialyu He China 10 449 2.0× 285 1.6× 142 1.2× 111 1.8× 54 0.9× 12 714
Jinzhou Cao China 12 327 1.4× 494 2.8× 133 1.1× 72 1.2× 69 1.1× 36 772
Ximeng Cheng China 10 129 0.6× 204 1.1× 31 0.3× 38 0.6× 55 0.9× 16 436
Ruoxin Zhu China 10 73 0.3× 235 1.3× 71 0.6× 34 0.5× 76 1.2× 25 492
Fei Tao China 10 100 0.4× 96 0.5× 56 0.5× 56 0.9× 48 0.8× 24 352
Michael Jendryke China 11 268 1.2× 137 0.8× 28 0.2× 33 0.5× 27 0.4× 19 435
Hanqing Bao China 5 162 0.7× 93 0.5× 181 1.6× 108 1.7× 50 0.8× 6 343
Shouhang Du China 10 146 0.6× 63 0.4× 107 0.9× 79 1.3× 39 0.6× 36 356
Jade Philipoom United States 4 118 0.5× 109 0.6× 31 0.3× 13 0.2× 58 1.0× 6 344

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
1.
Liang, Haolin, et al.. (2025). Modeling and Simulation of Inter-Satellite Laser Communication for Space-Based Gravitational Wave Detection. Sensors. 25(4). 1068–1068. 2 indexed citations
2.
Lin, Wei, et al.. (2025). Multi-scale compression artifact attention-driven compressed video quality enhancement. Digital Signal Processing. 163. 105218–105218.
3.
Pan, Dan, An Zeng, Chao Zou, et al.. (2022). Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer’s Disease. IEEE Transactions on Computational Social Systems. 11(1). 247–266. 19 indexed citations
4.
Jia, Pu, et al.. (2022). Replacement control of Mikania micrantha in orchards and its eco-physiological mechanism. Frontiers in Ecology and Evolution. 10. 3 indexed citations
5.
Cai, Huaiyu, et al.. (2020). A Novel Calibration Board and Experiments for 3D LiDAR and Camera Calibration. Sensors. 20(4). 1130–1130. 22 indexed citations
6.
Liang, Haolin & Shawn Newsam. (2019). Estimating the Spatial Resolution of Very High-Resolution Overhead Imagery. 77–80. 3 indexed citations
7.
Liang, Haolin & Shawn Newsam. (2019). Estimating The Spatial Resolution of Overhead Imagery Using Convolutional Neural Networks. 370–374. 2 indexed citations
8.
Yao, Yao, Jinbao Zhang, Ye Hong, Haolin Liang, & Jialyu He. (2018). Mapping fine‐scale urban housing prices by fusing remotely sensed imagery and social media data. Transactions in GIS. 22(2). 561–581. 74 indexed citations
9.
Liu, Xiaoping, Jialyu He, Yao Yao, et al.. (2017). Classifying urban land use by integrating remote sensing and social media data. International Journal of Geographical Information Systems. 31(8). 1675–1696. 297 indexed citations breakdown →
10.
Yao, Yao, Haolin Liang, Xia Li, Jiajun Zhang, & Jun He. (2017). SENSING URBAN LAND-USE PATTERNS BY INTEGRATING GOOGLE TENSORFLOW AND SCENE-CLASSIFICATION MODELS. SHILAP Revista de lepidopterología. XLII-2/W7. 981–988. 17 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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