Liangbo Ning

649 total citations · 1 hit paper
12 papers, 262 citations indexed

About

Liangbo Ning is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Liangbo Ning has authored 12 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Liangbo Ning's work include Topic Modeling (4 papers), Semantic Web and Ontologies (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Liangbo Ning is often cited by papers focused on Topic Modeling (4 papers), Semantic Web and Ontologies (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Liangbo Ning collaborates with scholars based in China, Hong Kong and France. Liangbo Ning's co-authors include Zuowei Zhang, Zhunga Liu, Qing Li, Wenqi Fan, Yujuan Ding, Shijie Wang, Hengyun Li, Dawei Yin, Tat‐Seng Chua and Quan Pan and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Liangbo Ning

11 papers receiving 250 citations

Hit Papers

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented... 2024 2026 2025 2024 40 80 120
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.

  1. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
    2024 137 citations Wenqi Fan, Yujuan Ding et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liangbo Ning China 7 127 58 40 40 35 12 262
Yao Meng China 12 220 1.7× 43 0.7× 59 1.5× 10 0.3× 71 2.0× 51 355
V. K. Panchal India 6 89 0.7× 41 0.7× 13 0.3× 16 0.4× 36 1.0× 37 157
Rongsheng Dong China 7 55 0.4× 63 1.1× 25 0.6× 10 0.3× 76 2.2× 31 286
A. Suruliandi India 10 101 0.8× 66 1.1× 25 0.6× 32 0.8× 258 7.4× 70 396
Driss Mammass Morocco 11 95 0.7× 68 1.2× 54 1.4× 14 0.3× 137 3.9× 59 452
Y. Dai China 1 332 2.6× 17 0.3× 106 2.6× 8 0.2× 59 1.7× 3 458
Diego Romano Italy 9 50 0.4× 16 0.3× 68 1.7× 14 0.3× 37 1.1× 30 218

Countries citing papers authored by Liangbo Ning

Since Specialization
Citations

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

Fields of papers citing papers by Liangbo Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangbo Ning

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

All Works

12 of 12 papers shown
1.
2.
Ning, Liangbo, Yujuan Ding, Wenqi Fan, et al.. (2025). A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. CityU Scholars. 6140–6150. 3 indexed citations
3.
Ning, Liangbo, Zuowei Zhang, Weiping Ding, Dian Shao, & Yining Zhu. (2025). Multilevel Distribution Alignment for Multisource Universal Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 17365–17379. 8 indexed citations
4.
Wu, Pangjing, et al.. (2025). Towards Retrieval-Augmented Large Language Models: Data Management and System Design. 4509–4512. 1 indexed citations
5.
Zhang, Zuowei, et al.. (2025). Belief-Based Fuzzy and Imprecise Clustering for Arbitrary Data Distributions. IEEE Transactions on Fuzzy Systems. 33(8). 2755–2767. 6 indexed citations
6.
Fan, Wenqi, Yujuan Ding, Liangbo Ning, et al.. (2024). A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. 6491–6501. 137 indexed citations breakdown →
7.
Ning, Liangbo, et al.. (2024). Interpretation-Empowered Neural Cleanse for Backdoor Attacks. 951–954. 2 indexed citations
8.
Ning, Liangbo, Shijie Wang, Wenqi Fan, et al.. (2024). CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent. ArXiv.org. 2284–2295. 7 indexed citations
9.
Zhang, Zuowei, et al.. (2023). Mining and reasoning of data uncertainty-induced imprecision in deep image classification. Information Fusion. 96. 202–213. 4 indexed citations
10.
Zhang, Zuowei, et al.. (2023). Representation of Imprecision in Deep Neural Networks for Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 1199–1212. 9 indexed citations
11.
Liu, Zhunga, Liangbo Ning, & Zuowei Zhang. (2022). A New Progressive Multisource Domain Adaptation Network With Weighted Decision Fusion. IEEE Transactions on Neural Networks and Learning Systems. 35(1). 1062–1072. 16 indexed citations
12.
Liu, Zhunga, Zuowei Zhang, Quan Pan, & Liangbo Ning. (2021). Unsupervised Change Detection From Heterogeneous Data Based on Image Translation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 69 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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