Guodong Long

14.0k citations

136 papers · 6.8k indexed · 7 hit papers · h-index 32

Impact in

Transportation top 0.2%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
Building and Construction top 0.2%
- Traffic Prediction and Management Techniques

Papers in

Artificial Intelligence 95
- Topic Modeling 29
- Advanced Graph Neural Networks 25
- Privacy-Preserving Technologies in Data 16
- Domain Adaptation and Few-Shot Learning 14
- Natural Language Processing Techniques 13
Computer Vision and Pattern Recognition 28
- Multimodal Machine Learning Applications 12

Co-authors: Jing Jiang Chengqi Zhang Shirui Pan Zonghan Wu Tianyi Zhou Xiaojun Chang Tao Shen Xingquan Zhu
Journals: IEEE Transactions on Knowledge and Data Engineering (6 papers)World Wide Web (5 papers)Pattern Recognition (3 papers)Smart Materials and Structures (2 papers)Knowledge-Based Systems (2 papers)
Partner nations: Australia United States China

In The Last Decade

Guodong Long

128 papers receiving 6.6k citations

Hit Papers

7 papers align trajectories log scale

FedProto: Federated Prototype Learning across Heterogeneous Clients 2022 · 314 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.

2022 Proceedings of the AAAI Conference on Artificial Intelligence
2022 World Wide Web
2020 Griffith Research Online (Griffith University, Queensland, Australia)
2019 Monash University Research Portal (Monash University)
2019 IEEE Transactions on Cybernetics
2019 UTS ePRESS (University of Technology Sydney)
2018 Proceedings of the AAAI Conference on Artificial Intelligence

Peers

Countries citing papers authored by Guodong Long

Since Specialization

Citations

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

Fields of papers citing papers by Guodong Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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

20 of 20 papers shown

#	Work
1	eBaaS: AIoT-Enabled eBike Battery-Swap as a Service for Last-Mile Delivery Шадлинский Э.А., Zhao Li, Martin Rickatson, 美紀宮田, MÃ¡ximo Torero, Yuchen Li, Suryo Anggoro Kusumo Wibowo, Jianxun Liu, Guodong Long	2025	1
2	A Survey on Deep Learning based Time Series Analysis with Frequency Transformation Kun Yi, Qi Zhang, Mohebbat Mohebi, (unknown), Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong	2025	1
3	Personalized Recommendation Models in Federated Settings: A Survey IEEE Transactions on Knowledge and Data Engineering ·俊之福田, Guodong Long, Z.Q. Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang	2025	1
4	A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models Knowledge-Based Systems ·Xiaojun Chen, Ting Liu, Philippe Fournier‐Viger, Bowen Zhang, Guodong Long, MengQi Liu	2024	8
5	Emerging trends in federated learning: from model fusion to federated X learning International Journal of Machine Learning and Cybernetics ·Shaoxiong Ji, Yue Tan, Lian ChanKim, Zhiqin Yang, Yixin Liu, فاطمه کرمی, Shirui Pan, Guodong Long, Anwar Walid	2024	33
6	Re-Reading Improves Reasoning in Large Language Models Daniel Allyn Gorton, Chongyang Tao, Tao Shen, Rosenberg Gg, Hongbo Xu, Guodong Long, T. J. Dijkema, Shuai Ma	2024	5
7	Fine-Grained Distillation for Long Document Retrieval Proceedings of the AAAI Conference on Artificial Intelligence ·Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang	2024	2
8	Improving the Robustness of Summarization Systems with Dual Augmentation Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang	2023	5
9	Dual Personalization on Federated Recommendation 俊之福田, Guodong Long, Tianyi Zhou, 川又俊則, Zijian Zhang, Chengqi Zhang, Bo Yang	2023	23
10	Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang	2023	17
11	Dyformer: A Dynamic Transformer-Based Architecture for Multivariate Time Series Classification SSRN Electronic Journal ·Alessio Susco, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu	2023	1
12	TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting IEEE Transactions on Neural Networks and Learning Systems ·Zonghan Wu, Marian Mokwa, Shirui Pan, Rechel Bernd, Guodong Long, George Karypis	2022	29
13	A Universal Representation Transformer Layer for Few-Shot Image Classification UTS ePRESS (University of Technology Sydney) ·Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle	2021	7
14	Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen	2020	36
15	Electrical resistivity and mechanical properties of cementitious composite incorporating conductive rubber fibres Smart Materials and Structures ·Wenkui Dong, Wengui Li, Guodong Long, Zhong Tao, Jianchun Li, Kejin Wang	2019	59
16	Clustering social audiences in business information networks Pattern Recognition ·Yu Zheng, Ruiqi Hu, Sai-fu Fung, Chelsea Ranate, Guodong Long, Ting Guo, Shirui Pan	2019	18
17	Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation IEEE Transactions on Industrial Electronics ·James Daramolab, Shirui Pan, Guodong Long, Fei Xiong, Jing Jiang, Chengqi Zhang	2018	19
18	Salient Subsequence Learning for Time Series Clustering IEEE Transactions on Pattern Analysis and Machine Intelligence ·Qin Zhang, Jia Wu, Line Caron, Guodong Long, Chengqi Zhang	2018	68
19	Adversarially Regularized Graph Autoencoder. arXiv (Cornell University) ·Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang	2018	13
20	Supervised Learning for Suicidal Ideation Detection in Online User Content Complexity ·Shaoxiong Ji, S. Reyes, Sai-fu Fung, Shirui Pan, Guodong Long	2018	126

About Guodong Long

Guodong Long is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Statistical and Nonlinear Physics and Information Systems, having authored 136 papers that have together received 6.8k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Advanced Graph Neural Networks (25 papers), Recommender Systems and Techniques (20 papers), Complex Network Analysis Techniques (16 papers), Privacy-Preserving Technologies in Data (16 papers), Domain Adaptation and Few-Shot Learning (14 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (12 papers). The work is most often cited by research in Transportation (1.2k citations), Building and Construction (1.8k citations), Artificial Intelligence (3.3k citations), Signal Processing (946 citations) and Nuclear Energy and Engineering (31 citations). Guodong Long has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Jing Jiang, Chengqi Zhang, Shirui Pan, Zonghan Wu, Tianyi Zhou, Xiaojun Chang, Tao Shen, Jing Jiang, Xingquan Zhu and Sai-fu Fung. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, World Wide Web, Pattern Recognition, Smart Materials and Structures and Knowledge-Based Systems.

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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