Cheng Liu

2.3k total citations · 2 hit papers
96 papers, 1.5k citations indexed

About

Cheng Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Cheng Liu has authored 96 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 36 papers in Computer Vision and Pattern Recognition and 11 papers in Molecular Biology. Recurrent topics in Cheng Liu's work include Face and Expression Recognition (14 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Machine Learning and ELM (8 papers). Cheng Liu is often cited by papers focused on Face and Expression Recognition (14 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Machine Learning and ELM (8 papers). Cheng Liu collaborates with scholars based in China, Hong Kong and United Kingdom. Cheng Liu's co-authors include Hau−San Wong, Dazhi Jiang, Si Wu, Hangjun Che, Zhiwen Yu, Man-Fai Leung, Geng Tu, Sentao Chen, Lin Zheng and Rui Li and has published in prestigious journals such as Bioinformatics, The Journal of Physical Chemistry B and Scientific Reports.

In The Last Decade

Cheng Liu

88 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints

2023 82 citations Hangjun Che, Man-Fai Leung et al. Information Sciences profile →
Projected cross-view learning for unbalanced incomplete multi-view clustering

2024 53 citations Hangjun Che, Man-Fai Leung et al. profile →

Peers

Countries citing papers authored by Cheng Liu

Since Specialization

Citations

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

Fields of papers citing papers by Cheng Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Liu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Robust Diverse Multi-View Learning for Cancer Subtyping 2025 ·Hangjun Che, (unknown), Man-Fai Leung, (unknown), Cheng Liu	0
2	A Novel Approach for Effective Partially View-Aligned Clustering With Triple-Consistency 2025 ·IEEE Transactions on Circuits and Systems for Video Technology ·(unknown), Cheng Liu, Zhiping Cai, Hongming Sun, Gaoyang Li, Ying Li, Wei Du	1
3	Effect of Ultra-Rapid Heating/Cooling on the Microstructure and Properties of TC4-B-Si Titanium Matrix Composites 2025 ·Materials ·(unknown), Jianchao Li, Cheng Liu, Likun Wang, Sainan Ma, Bo Yuan, (unknown), (unknown), Huan Wang, Xiang Gao, Huiping Tang, Hua‐Xin Peng	0
4	Incomplete multi-view clustering with cross-view generation via pre-trained transformer 2025 ·Pattern Recognition ·(unknown), Cheng Liu, Hongming Sun, Gaoyang Li, Ying Li, You Zhou, Wei Du	0
5	Concurrent topology optimization of multiscale piezoelectric actuators 2024 ·International Journal of Solids and Structures ·Cheng Liu, (unknown), Chaofeng Lü, (unknown)	3
6	SELF-Former: multi-scale gene filtration transformer for single-cell spatial reconstruction 2024 ·Briefings in Bioinformatics ·Tianyi Chen, (unknown), (unknown), Yunfei Zhang, Cheng Liu, Wen‐Jun Shen, Si Wu, Hau−San Wong	1
7	Dynamic category-sensitive hypergraph inferring and homo-heterogeneous neighbor feature learning for drug-related microbe prediction 2024 ·Bioinformatics ·Ping Xuan, (unknown), Hui Cui, Jing Gu, Cheng Liu, Tiangang Zhang, (unknown)	2
8	Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes 2024 ·Bioinformatics ·Ping Xuan, Jing Gu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Cheng Liu, Tiangang Zhang	8
9	Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering 2024 ·IEEE Transactions on Knowledge and Data Engineering ·Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau−San Wong	7
10	Molecular descriptor-enhanced graph neural network for energetic molecular property prediction 2024 ·Science China Materials ·Tianyu Gao, Yujin Ji, Cheng Liu, Youyong Li	3
11	Cluster-based Adversarial Decision Boundary for domain-adaptive open set recognition 2024 ·Knowledge-Based Systems ·(unknown), Qianfen Jiao, Si Wu, Cheng Liu, Hau−San Wong	1
12	Efficient dynamic feature adaptation for cross language sentiment analysis with biased adversarial training 2023 ·Knowledge-Based Systems ·Rui Li, Cheng Liu, Dazhi Jiang	4
13	Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering 2023 ·Signal Processing ·(unknown), Hangjun Che, Man-Fai Leung, Cheng Liu, Zheng Yan	28
14	Training multi-source domain adaptation network by mutual information estimation and minimization 2023 ·Neural Networks ·(unknown), Sentao Chen, (unknown), Cheng Liu, Lin Zheng	21
15	Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification 2021 ·IEEE Transactions on Image Processing ·(unknown), (unknown), (unknown), Cheng Liu, Si Wu, Hau−San Wong	6
16	A hybrid intelligent model for acute hypotensive episode prediction with large-scale data 2020 ·Information Sciences ·Dazhi Jiang, Geng Tu, (unknown), (unknown), Cheng Liu, Lin Zheng, Teng Zhou	29
17	Corpus-based topic diffusion for short text clustering 2017 ·Neurocomputing ·(unknown), Cheng Liu, Hau−San Wong	35
18	Progress in the development of black-odour prediction models for urban rivers 2011 ·Huadong Shifan Daxue xuebao. Ziran kexue ban ·Cheng Liu, (unknown), (unknown), (unknown)	2
19	A New Development in the Theory of Socialist Democracy——Reflections on Jiang Zemin's report at 16th Party Congress 2003 ·Journal of Yangzhou University ·Cheng Liu	1
20	Comparision identification of genuine and confusable rhizoma drynariae 2003 ·Cheng Liu	1

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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