Haoran Liang

45 total papers · 1.1k total citations
31 papers, 551 citations indexed

About

Haoran Liang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Haoran Liang has authored 31 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 5 papers in Cognitive Neuroscience and 5 papers in Artificial Intelligence. Recurrent topics in Haoran Liang's work include Visual Attention and Saliency Detection (16 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Face Recognition and Perception (4 papers). Haoran Liang is often cited by papers focused on Visual Attention and Saliency Detection (16 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Face Recognition and Perception (4 papers). Haoran Liang collaborates with scholars based in China, United States and Australia. Haoran Liang's co-authors include Ronghua Liang, Jun Wu, Peng Chen, Jianhua Li, Xi Lin, Wu Yang, Nanrun Zhou, Guangyong Li, Konstantin Igorevich Kostromitin and Jianing Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Industry Applications.

In The Last Decade

Haoran Liang

26 papers receiving 541 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Haoran Liang	310	133	133	117	60	31	551
J.C.A. van der Lubbe	191 0.6×	149 1.1×	102 0.8×	166 1.4×	14 0.2×	35	602
Zhiming Cui	288 0.9×	166 1.2×	143 1.1×	34 0.3×	65 1.1×	69	558
Yuxin Mao	136 0.4×	155 1.2×	111 0.8×	181 1.5×	22 0.4×	65	545
Roobaea Alroobaea	144 0.5×	129 1.0×	91 0.7×	94 0.8×	13 0.2×	39	509
Zheng Pan	330 1.1×	199 1.5×	58 0.4×	34 0.3×	33 0.6×	32	568
Yu Zhang	315 1.0×	72 0.5×	69 0.5×	150 1.3×	45 0.8×	25	578
Tarek M. Mahmoud	140 0.5×	198 1.5×	69 0.5×	117 1.0×	16 0.3×	37	522
Xin Wang	157 0.5×	324 2.4×	63 0.5×	72 0.6×	28 0.5×	23	562
Yong Feng	192 0.6×	176 1.3×	101 0.8×	73 0.6×	33 0.6×	68	532
Xiao Yu	123 0.4×	210 1.6×	81 0.6×	100 0.9×	18 0.3×	34	545

Countries citing papers authored by Haoran Liang

Since Specialization

Citations

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

Fields of papers citing papers by Haoran Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoran Liang

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

All Works

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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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