Luchen Liu

844 total citations
23 papers, 510 citations indexed

About

Luchen Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Luchen Liu has authored 23 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Luchen Liu's work include Topic Modeling (7 papers), Advanced Graph Neural Networks (7 papers) and Machine Learning in Healthcare (5 papers). Luchen Liu is often cited by papers focused on Topic Modeling (7 papers), Advanced Graph Neural Networks (7 papers) and Machine Learning in Healthcare (5 papers). Luchen Liu collaborates with scholars based in China, United States and Australia. Luchen Liu's co-authors include Zi Huang, Yang Yang, Richang Hong, Fumin Shen, Xing Xu, Heng Tao Shen, Ming Zhang, Xixun Lin, Wei Ju and Jiangxia Cao and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering and Neural Computing and Applications.

In The Last Decade

Luchen Liu

22 papers receiving 499 citations

Peers

Countries citing papers authored by Luchen Liu

Since Specialization

Citations

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

Fields of papers citing papers by Luchen Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luchen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Luchen Liu. A scholar is included among the top collaborators of Luchen 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 Luchen Liu. Luchen 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

#	Work	Indexed citations
1	MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation 2025 ·Jinsheng Huang, Chen Liang, (unknown), (unknown), Yusheng Zhao, Bohan Wu, (unknown), (unknown), (unknown), (unknown), (unknown), Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, (unknown)	0
2	Poisoning medical knowledge using large language models 2024 ·Nature Machine Intelligence ·(unknown), Hanwen Xu, (unknown), Tong Chen, (unknown), (unknown), Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang	26
3	Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning 2023 ·ACM Transactions on Knowledge Discovery from Data ·Xiao Luo, Wei Ju, Yiyang Gu, (unknown), Luchen Liu, Yuhui Yuan, Ming Zhang	45
4	Redundancy-Free Self-Supervised Relational Learning for Graph Clustering 2023 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yongdao Zhou, Ming Zhang	22
5	Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts 2023 ·IEEE Transactions on Big Data ·(unknown), (unknown), Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo, Ming Zhang	8
6	Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling 2023 ·ACM Transactions on Multimedia Computing Communications and Applications ·Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, (unknown), Daqing Wu, Luchen Liu, Ming Zhang	13
7	Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation 2023 ·ACM Transactions on Knowledge Discovery from Data ·Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian‐Sheng Hua	4
8	Learning Common Dependency Structure for Unsupervised Cross-Domain Ner 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Luchen Liu, Xixun Lin, Peng Zhang, (unknown), Bin Wang	1
9	Multi-Modal Adversarial Adaptive Network for Misinformation Detection on Social Media 2022 ·2022 IEEE International Conference on Multimedia and Expo (ICME) ·Lei Zhang, Peng Zhang, Xi Zhu, Luchen Liu, (unknown)	1
10	Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang, Zhihong Tian	16
11	Improving Cross-Domain Slot Filling with Common Syntactic Structure 2021 ·Luchen Liu, Xixun Lin, Peng Zhang, Bin Wang	5
12	Multiphish: Multi-Modal Features Fusion Networks for Phishing Detection 2021 ·Lei Zhang, Peng Zhang, Luchen Liu, Jianlong Tan	7
13	Bipartite Graph Embedding via Mutual Information Maximization 2021 ·Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang	75
14	Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing 2020 ·IEEE Transactions on Knowledge and Data Engineering ·Heng Tao Shen, Luchen Liu, Yang Yang, Xing Xu, Zi Huang, Fumin Shen, Richang Hong	177
15	Deep spatial–temporal structure learning for rumor detection on Twitter 2020 ·Neural Computing and Applications ·Qi Huang, Chuan Zhou, Jia Wu, Luchen Liu, Bin Wang	45
16	Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation 2019 ·arXiv (Cornell University) ·Luchen Liu, (unknown), (unknown), (unknown), Ming Zhang	3
17	Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation 2019 ·Computing in cardiology ·Luchen Liu, (unknown), (unknown), (unknown), Ming Zhang	8
18	Predictive Multi-level Patient Representations from Electronic Health Records 2019 ·(unknown), Haoran Li, Luchen Liu, (unknown), Ming Zhang	4
19	Evaluation of Low-Contrast Resolution for Computed Tomography by Method of Optimized CNR and Experts' Subjective Evaluation 2019 ·Chengwei Li, Jie Sun, Luchen Liu, Peng Zhang, Wenli Liu, Pu Zhang	1
20	Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction 2018 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Luchen Liu, Jianhao Shen, Ming Zhang, (unknown), Jian Tang	34

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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