Ganqu Cui

7.6k citations

21 papers · 4.4k · 2 hit papers · h-index 8

Impact in

Artificial Intelligence top 0.5%
- Advanced Graph Neural Networks
- Topic Modeling
Statistical and Nonlinear Physics top 1%
- Complex Network Analysis Techniques

Papers in

Artificial Intelligence 14
- Topic Modeling 10
- Natural Language Processing Techniques 5
- Adversarial Robustness in Machine Learning 3
- Speech Recognition and Synthesis 3
- Advanced Graph Neural Networks 2
Computer Vision and Pattern Recognition 5
- Multimodal Machine Learning Applications 2
- Graph Theory and Algorithms 2

Co-authors: Zhiyuan Liu (15 shared papers)Maosong Sun (11 shared papers)Cheng Yang (4 shared papers)Zhengyan Zhang (2 shared papers)Changcheng Li (2 shared papers)Shengding Hu (2 shared papers)Jie Zhou (2 shared papers)Lifeng Wang (1 shared paper)
Journals: IEEE Transactions on Neural Networks and Learning Systems (1 paper)Transactions of the Association for Computational Linguistics (1 paper)arXiv (Cornell University) (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
Partner nations: China United States Singapore

In The Last Decade

Ganqu Cui

18 papers receiving 4.3k citations

Ganqu Cui's Hit Papers

align trajectories log scale

Graph neural networks: A review of methods and applications 2020 · 3.4k 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.

2020 DOAJ (DOAJ: Directory of Open Access Journals)
2018 arXiv (Cornell University)

Peers

Countries citing papers authored by Ganqu Cui

Since Specialization

Citations

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

Fields of papers citing papers by Ganqu Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ganqu Cui, 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 Ganqu Cui Line = papers co-authored together Ganqu Cui links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Graph neural networks: A review of methods and applications DOAJ (DOAJ: Directory of Open Access Journals) ·Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun Hit paper breakdown →	2020	3420
2	Graph Neural Networks: A Review of Methods and Applications arXiv (Cornell University) ·Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun Hit paper breakdown →	2018	767
3	Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu	2019	56
4	Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks IEEE Transactions on Neural Networks and Learning Systems ·Cheng Yang, Hao Wang, Jian Tang, Chuan Shi, Maosong Sun, Ganqu Cui, Zhiyuan Liu	2021	32
5	RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-Grained Correctional Human Feedback Tianyu Yu, Yuan Yao, Haoye Zhang, Taiwen He, Yifeng Han, Ganqu Cui, Jinyi Hu, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun	2024	25
6	Exploring the Universal Vulnerability of Prompt-based Learning Paradigm Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu	2022	22
7	Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP Yang‐Yi Chen, Hongcheng Gao, Ganqu Cui, Fanchao Qi, Longtao Huang, Zhiyuan Liu, Maosong Sun	2022	13
8	Machine-Learning-Driven Matrix Ordering for Power Grid Analysis Ganqu Cui, Wenjian Yu, Xin Li, Zhiyu Zeng, Ben Gu	2019	9
9	A Close Look into the Calibration of Pre-trained Language Models Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji	2023	6
10	Few-shot Classification with Hypersphere Modeling of Prototypes Ning Ding, Yulin Chen, Ganqu Cui, Xiaobin Wang, Hai-Tao Zheng, Zhiyuan Liu, Pengjun Xie	2023	5
11	Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT Biru Zhu, Lifan Yuan, Ganqu Cui, Yangyi Chen, Chong Fu, Bingxiang He, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu	2023	5
12	From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework Yang‐Yi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji	2023	4
13	INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Yu Ge	2024	3
14	UltraMedical: Building Specialized Generalists in Biomedicine Zhang-Ren Chen, Ganqu Cui, Ning Ding, Jianbing Hu, Ermo Hua, Haoxin Li, Zhiyuan Liu, Xingtai Lv, Zhiyuan Ma, Biqing Qi, Sihang Zeng, Kaiyan Zhang, Bowen Zhou, Xuekai Zhu	2024	3
15	Decoder Tuning: Efficient Language Understanding as Decoding Ganqu Cui, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu, Maosong Sun	2023	2
16	RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness Tianyu Yu, Haoye Zhang, Qiming Li, Qixin Xu, Yuan Yao, Da Chen, Xiaoman Lu, Ganqu Cui, Yunkai Dang, Taiwen He, Xiaocheng Feng, (unknown), Bo Zheng, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun	2025	1
17	Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, (unknown), Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun	2024	1
18	Capacitance Extraction and Power Grid Analysis Using Statistical and AI Methods Wenjian Yu, Ming Yang, Yao Feng, Ganqu Cui, Ben Gu	2020	1
19	Removing Backdoors in Pre-trained Models by Regularized Continual Pre-training Transactions of the Association for Computational Linguistics ·Biru Zhu, Ganqu Cui, Yangyi Chen, Yujia Qin, Lifan Yuan, Chong Fu, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu	2023	0
20	Noise Contrastive Alignment of Language Models with Explicit Rewards Huayu Chen, Ganqu Cui, Guande He, Hang Su, Lifan Yuan, Jun Zhu	2024	0

About Ganqu Cui

Ganqu Cui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Transportation and Electrical and Electronic Engineering, having authored 21 papers that have together received 4.4k indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (5 papers), Adversarial Robustness in Machine Learning (3 papers), Speech Recognition and Synthesis (3 papers), Multimodal Machine Learning Applications (2 papers), Graph Theory and Algorithms (2 papers), Advanced Graph Neural Networks (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Statistical and Nonlinear Physics (510 citations), Computer Vision and Pattern Recognition (701 citations), Transportation (191 citations) and Information Systems (546 citations). Ganqu Cui has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhiyuan Liu, Maosong Sun, Cheng Yang, Zhengyan Zhang, Changcheng Li, Shengding Hu, Jie Zhou, Lifeng Wang, Lifeng Wang and Jian Tang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and DOAJ (DOAJ: Directory of Open Access Journals).

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.

Explore authors with similar magnitude of impact

Ganqu Cui

Impact in

Papers in i

In The Last Decade

Ganqu Cui

Ganqu Cui's Hit Papers

Peers

Countries citing papers authored by Ganqu Cui

Fields of papers citing papers by Ganqu Cui

All Works

About Ganqu Cui

Explore authors with similar magnitude of impact

Papers in