Haoran Liu

591 total citations
41 papers, 370 citations indexed

About

Haoran Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Haoran Liu has authored 41 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Haoran Liu's work include Generative Adversarial Networks and Image Synthesis (4 papers), Image Retrieval and Classification Techniques (4 papers) and Advanced Neural Network Applications (4 papers). Haoran Liu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Image Retrieval and Classification Techniques (4 papers) and Advanced Neural Network Applications (4 papers). Haoran Liu collaborates with scholars based in China, United States and Japan. Haoran Liu's co-authors include Fei Jie, Weixing Chen, Ran Liu, Quan Yuan, Zhihao Li, Yanbing Yang, Zhi-Heng Li, Huanbo Luan, Cheng Yang and Zhiyuan Liu and has published in prestigious journals such as Nano Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and Automatica.

In The Last Decade

Haoran Liu

31 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haoran Liu China	9	104	69	65	61	54	41	370
Litao Zhang China	12	12 0.1×	54 0.8×	14 0.2×	60 1.0×	34 0.6×	74	513
Xiaoqing Xiao China	15	4 0.0×	57 0.8×	16 0.2×	30 0.5×	18 0.3×	47	862
Bowen Luo China	10	105 1.0×	40 0.6×	3 0.0×	99 1.6×	12 0.2×	38	431
Abdullah Hamadeh Canada	13	24 0.2×	111 1.6×	3 0.0×	32 0.5×	10 0.2×	41	831
Vahé Nerguizian Canada	15	15 0.1×	62 0.9×	46 0.7×	271 4.4×	6 0.1×	63	578
Jingyu Shao Australia	6	32 0.3×	66 1.0×	5 0.1×	35 0.6×	37 0.7×	16	230
Anzhi Wang China	13	18 0.2×	113 1.6×	73 1.1×	131 2.1×	13 0.2×	28	662
Changsheng Chen China	15	19 0.2×	74 1.1×	32 0.5×	81 1.3×	58 1.1×	66	691
Moo Sun Hong United States	9	6 0.1×	261 3.8×	93 1.4×	66 1.1×	17 0.3×	25	472

Countries citing papers authored by Haoran Liu

Since Specialization

Citations

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

Fields of papers citing papers by Haoran Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoran Liu

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

All Works

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20 of 20 papers shown

Wang, Yang, et al.. (2025). Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3469–3486. 2 indexed citations

Zhang, Huimin, Haoran Liu, Yinghui Sun, et al.. (2025). Preparation and Arc Erosion Behavior of Cu-Based Contact Materials Reinforced with High Entropy Particles CuCrNiCoFe. Metallurgical and Materials Transactions B. 56(5). 5948–5963. 1 indexed citations

Liu, Haoran, Xiang Lin, & Zhi Wei. (2025). Marker Gene-Guided Graph Neural Networks for Enhanced Spatial Transcriptomics Clustering. PubMed. 2(1). 1–1. 1 indexed citations

Liu, Haoran, Kai Sun, Tao Zeng, & Xianli Wang. (2025). Low-molecular-weight heparins utilization in pregnant and postpartum women: a real-world analysis in China (2016–2021). Frontiers in Pharmacology. 16. 1519051–1519051.

Liu, Haoran, et al.. (2024). InViT: GAN Inversion-Based Vision Transformer for Blind Image Inpainting. IEEE Access. 12. 129956–129965. 2 indexed citations

Liu, Haoran, Zhenyang Li, Shuming Shi, et al.. (2024). Image interpolation methods for division of focal plane polarimeters: a review. 22–22.

Liu, Haoran, Ying Ma, Ming Yan, et al.. (2024). DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3612–3620. 2 indexed citations

Han, Ye, et al.. (2024). A novel compound heterozygous mutation of UFC1 in a patient with neurodevelopmental disorder. Genes & Genomics. 46(9). 1037–1043.

Zhou, Hang, et al.. (2024). An intelligent decision system for virtual machine migration based on specific Q-learning. Journal of Cloud Computing Advances Systems and Applications. 13(1). 1 indexed citations

10.

Ju, Mingye, et al.. (2023). MTC-TransUNet: A Multi-Scale Mixed Convolution TransUNet for Medical Image Segmentation. 1–7.

11.

Liu, Yulin, et al.. (2023). Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling. 21264–21273. 2 indexed citations

12.

Liu, Haoran, et al.. (2022). Collaborative Contrastive Learning-Based Generative Model for Image Inpainting. IEEE Access. 10. 106641–106654.

13.

Liu, Haoran, et al.. (2022). Exploring the common principal subspace of deep features in neural networks. Machine Learning. 111(3). 1125–1157.

14.

Liu, Haoran, et al.. (2021). Point-of-Care Pathogen Testing Using Photonic Crystals and Machine Vision for Diagnosis of Urinary Tract Infections. Nano Letters. 21(7). 2854–2860. 58 indexed citations

15.

Lin, Xiang, Haoran Liu, Zhi Wei, Senjuti Basu Roy, & Nan Gao. (2021). An active learning approach for clustering single-cell RNA-seq data. Laboratory Investigation. 102(3). 227–235. 8 indexed citations

16.

Yang, Cheng, et al.. (2019). Neural Diffusion Model for Microscopic Cascade Study. IEEE Transactions on Knowledge and Data Engineering. 1–1. 49 indexed citations

17.

Liu, Haoran, et al.. (2018). SCADS: Simultaneous Computing and Distribution Strategy for Task Offloading in Mobile-Edge Computing System. 1286–1290. 2 indexed citations

18.

Zhang, Yutong, et al.. (2016). MapReduce-based deep learning with handwritten digit recognition case study. 1690–1699. 9 indexed citations

19.

Jie, Fei, et al.. (2016). Multilayered pyramidal dissolving microneedle patches with flexible pedestals for improving effective drug delivery. Journal of Controlled Release. 265. 113–119. 115 indexed citations

20.

Liang, Zhiwei, et al.. (2015). Multi-robot collaboration based on Markov decision process in Robocup3D soccer simulation game. 4345–4349. 2 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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