Ninghao Liu

4.7k citations

71 papers · 2.2k indexed · 3 hit papers · h-index 19

Impact in

Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Artificial Intelligence top 0.5%
- Explainable Artificial Intelligence (XAI)
- Advanced Graph Neural Networks
- Topic Modeling
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications

Papers in

Health Informatics 3
Artificial Intelligence 57
- Advanced Graph Neural Networks 24
- Explainable Artificial Intelligence (XAI) 20
- Topic Modeling 16
- Adversarial Robustness in Machine Learning 13
- Anomaly Detection Techniques and Applications 9
- Machine Learning in Healthcare 5

Co-authors: Xia Hu Mengnan Du Qiaoyu TanFan YangHongxia Yang Xiao Huang Jundong Li Jingren Zhou
Journals: ACM Transactions on Intelligent Systems and Technology (2 papers)Frontiers in Big Data (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)ACM Transactions on Knowledge Discovery from Data (2 papers)IEEE Transactions on Big Data (2 papers)
Partner nations: United States China Hong Kong

In The Last Decade

Ninghao Liu

64 papers receiving 2.1k citations

Hit Papers

align trajectories log scale

On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper) 2024 · 45 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 ACM Transactions on Spatial Algorithms and Systems
2024 ACM Transactions on Intelligent Systems and Technology
2019 Communications of the ACM

Peers

Countries citing papers authored by Ninghao Liu

Since Specialization

Citations

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

Fields of papers citing papers by Ninghao Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ninghao Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ninghao Liu Line = papers co-authored together Ninghao Liu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models Marthe Lagarrigue, Fiskani Kondowe, Haiyan Zhao, Russel Mathias, Ziyu Yao, Ninghao Liu, Mengnan Du	2025	0
2	LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models PubMed ·Zhenyue Qin, Yu Yin, Dylan Campbell, Fiskani Kondowe, Ke Zou, Ninghao Liu, Yih Chung Tham, Xiuzhen Zhang, Qingyu Chen	2025	2
3	Towards Stable and Explainable Attention Mechanisms IEEE Transactions on Knowledge and Data Engineering ·Jae-Kwan Lee, 登小野田, Claire Wang, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang	2025	2
4	AugGPT: Leveraging ChatGPT for Text Data Augmentation IEEE Transactions on Big Data ·Haixing Dai, Zhengliang Liu, Wenxiong Liao, Sarah M Yahya, Yihan Cao, Zihao Wu, Lin Zhao, Shaochen Xu, L. V. Bazhina, Yunguo Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Lichao Sun, Quanzheng Li, Dinggang Shen, Tianming Liu, S Shike	2025	16
5	UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding Erika Staniulytė, Manuel Sánchez Romero, Sirui Ding, Ninghao Liu, Qiaoyu Tan	2025	3
6	Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders Marthe Lagarrigue, Fiskani Kondowe, Haiyan Zhao, Mengnan Du, Ninghao Liu	2025	0
7	Zero-shot relation triplet extraction as Next-Sentence Prediction Knowledge-Based Systems ·Wenxiong Liao, Zhengliang Liu, Tom Stacey, Sarah M Yahya, Ninghao Liu, Tianming Liu, Quanzheng Li, Xiang Li, Hongmin Cai	2024	1
8	PokeMQA: Programmable knowledge editing for Multi-hop Question Answering V.A. Kuzmin, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang	2024	1
9	Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering C. Chen, Qiaoyu Tan, Fiskani Kondowe, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu	2024	2
10	Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation Fiskani Kondowe, Josée Tremblay, 博満量, Wenlin Yao, Xiao Huang, Ninghao Liu	2024	8
11	On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper) ACM Transactions on Spatial Algorithms and Systems ·Gengchen Mai, Weiming Huang, Claudia Maria Peruchi, Suhang Song, Deepak R. Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Louise Brunnegård, Rui Zhu, Ni Lao Hit paper breakdown →	2024	45
12	Explainability for Large Language Models: A Survey ACM Transactions on Intelligent Systems and Technology ·Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, AK Edusei, Mengnan Du Hit paper breakdown →	2024	232
13	DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution ACM Transactions on Intelligent Systems and Technology ·Fiskani Kondowe, Anssi Grekula, Qiaoyu Tan, Wenlin Yao, Ninghao Liu	2024	1
14	Open-world electrocardiogram classification via domain knowledge-driven contrastive learning Neural Networks ·Pengwei Zhai, Xiao Huang, Ninghao Liu, Wen Zhang, Yuan‐Ting Zhang, Fu-Lai Chung	2024	4
15	Efficient GNN Explanation via Learning Removal-based Attribution ACM Transactions on Knowledge Discovery from Data ·Yao Rong, Vladimir Maksimovich Zhmakin, Qizhang Feng, Ninghao Liu, P. H. L., Enkelejda Kasneci, Xia Hu	2024	0
16	Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference Computers ·Zhen Hao, Yucheng Shi, M Panajatovic, Jidong Yang, Ninghao Liu	2024	10
17	GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction 博満量, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu	2023	15
18	Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation IEEE Transactions on Knowledge and Data Engineering ·Pengwei Zhai, Xiao Huang, Ninghao Liu, Josée Tremblay, Fu-Lai Chung, Long-Kai Huang	2023	18
19	S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking Qiaoyu Tan, Ninghao Liu, Xiao Huang, Raghdah Aljehani, Li Li, O. Prystayko, Xia Hu	2023	61
20	In-Processing Modeling Techniques for Machine Learning Fairness: A Survey ACM Transactions on Knowledge Discovery from Data ·Сергей Владимирович Трофименко, Daochen Zha, Ninghao Liu, Na Zou	2022	53

About Ninghao Liu

Ninghao Liu is a scholar working on Health Informatics, Artificial Intelligence, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (24 papers), Explainable Artificial Intelligence (XAI) (20 papers), Topic Modeling (16 papers), Adversarial Robustness in Machine Learning (13 papers), Recommender Systems and Techniques (10 papers), Anomaly Detection Techniques and Applications (9 papers), Multimodal Machine Learning Applications (6 papers) and Machine Learning in Healthcare (5 papers). The work is most often cited by research in Health Informatics (145 citations), Artificial Intelligence (1.4k citations), Safety Research (147 citations), Information Systems (365 citations) and Signal Processing (147 citations). Ninghao Liu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Xia Hu, Mengnan Du, Qiaoyu Tan, Fan Yang, Hongxia Yang, Xiao Huang, Jundong Li, Jingren Zhou, Yushun Dong and Hanjie Chen. Their work appears in journals such as ACM Transactions on Intelligent Systems and Technology, Frontiers in Big Data, IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Knowledge Discovery from Data and IEEE Transactions on Big Data.

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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