Chenjuan Guo

3.2k total citations · 1 hit paper
69 papers, 2.1k citations indexed

About

Chenjuan Guo is a scholar working on Signal Processing, Artificial Intelligence and Building and Construction. According to data from OpenAlex, Chenjuan Guo has authored 69 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Signal Processing, 24 papers in Artificial Intelligence and 23 papers in Building and Construction. Recurrent topics in Chenjuan Guo's work include Time Series Analysis and Forecasting (30 papers), Traffic Prediction and Management Techniques (23 papers) and Data Management and Algorithms (21 papers). Chenjuan Guo is often cited by papers focused on Time Series Analysis and Forecasting (30 papers), Traffic Prediction and Management Techniques (23 papers) and Data Management and Algorithms (21 papers). Chenjuan Guo collaborates with scholars based in Denmark, China and United States. Chenjuan Guo's co-authors include Bin Yang, Christian S. Jensen, Tung Kieu, Jilin Hu, Jian Dai, Razvan-Gabriel Cirstea, Zhiming Ding, Manohar Kaul, Yu Ma and Shirui Pan and has published in prestigious journals such as Nature Communications, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.

In The Last Decade

Chenjuan Guo

62 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

2024 49 citations Chenjuan Guo, Aoying Zhou et al. Proceedings of the VLDB Endowment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chenjuan Guo Denmark	29	1.2k	731	684	622	346	69	2.1k
Zonghan Wu Australia	6	701 0.6×	1.7k 2.4×	1.1k 1.6×	734 1.2×	143 0.4×	8	2.7k
Baihua Zheng Singapore	34	2.1k 1.7×	638 0.9×	722 1.1×	841 1.4×	1.5k 4.2×	159	3.6k
Xiaoliang Fan China	13	316 0.3×	1.1k 1.5×	713 1.0×	377 0.6×	105 0.3×	51	1.6k
Kunqing Xie China	16	211 0.2×	891 1.2×	781 1.1×	411 0.7×	338 1.0×	68	2.1k
Chengyang Zhang China	13	945 0.8×	710 1.0×	912 1.3×	293 0.5×	227 0.7×	56	2.0k
Renhe Jiang Japan	20	326 0.3×	679 0.9×	551 0.8×	316 0.5×	64 0.2×	87	1.2k
Shengnan Guo China	11	866 0.7×	2.9k 4.0×	2.0k 2.9×	679 1.1×	111 0.3×	25	3.8k
Young‐Seon Jeong South Korea	17	459 0.4×	897 1.2×	689 1.0×	454 0.7×	48 0.1×	43	2.0k
Wenwen Kang China	7	311 0.3×	1.8k 2.5×	1.3k 1.9×	351 0.6×	156 0.5×	22	2.5k

Countries citing papers authored by Chenjuan Guo

Since Specialization

Citations

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

Fields of papers citing papers by Chenjuan Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenjuan Guo

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

All Works

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

20 of 20 papers shown

Zeng, Liang, et al.. (2025). MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models. 21293–21314.

Hu, Jilin, et al.. (2025). TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting. VBN Forskningsportal (Aalborg Universitet). 5595–5606. 5 indexed citations

Hao, Miao, Zhi Liu, Yan Zhao, et al.. (2025). LightTR+: A Lightweight Incremental Framework for Federated Trajectory Recovery. IEEE Transactions on Knowledge and Data Engineering. 38(2). 1174–1188.

Zhao, Kai, et al.. (2025). Enhancing Diversity for Data-free Quantization. VBN Forskningsportal (Aalborg Universitet). 20969–20978. 1 indexed citations

Andersen, Kasper Skytte, Kai Zhao, Marta Nierychlo, et al.. (2025). Predicting microbial community structure and temporal dynamics by using graph neural network models. Nature Communications. 16(1). 9124–9124.

Li, Xiuwen, et al.. (2025). AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation. 3945–3957.

Guo, Chenjuan, et al.. (2024). TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. Proceedings of the VLDB Endowment. 17(9). 2363–2377. 49 indexed citations breakdown →

Kieu, Tung, et al.. (2024). QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. Proceedings of the VLDB Endowment. 17(11). 2708–2721. 8 indexed citations

Guo, Chenjuan, et al.. (2024). A Memory Guided Transformer for Time Series Forecasting. Proceedings of the VLDB Endowment. 18(2). 239–252.

10.

Hu, Jilin, et al.. (2024). Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. 3892–3896. 3 indexed citations

11.

Guo, Chenjuan, Ronghui Xu, Bin Yang, et al.. (2024). Efficient Stochastic Routing in Path-Centric Uncertain Road Networks. Proceedings of the VLDB Endowment. 17(11). 2893–2905. 5 indexed citations

12.

Zhao, Kai, et al.. (2024). Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection. Proceedings of the VLDB Endowment. 18(4). 1159–1168. 1 indexed citations

13.

Miao, Hao, Shuicheng Yan, Chenjuan Guo, et al.. (2024). Less is More: Efficient Time Series Dataset Condensation via Two-Fold Modal Matching. Proceedings of the VLDB Endowment. 18(2). 226–238. 7 indexed citations

14.

Ouyang, Bo, et al.. (2024). RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems. Proceedings of the VLDB Endowment. 18(4). 1169–1182. 1 indexed citations

15.

Kieu, Tung, Bin Yang, Chenjuan Guo, et al.. (2022). Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 1342–1354. 32 indexed citations

16.

Cirstea, Razvan-Gabriel, Chenjuan Guo, & Bin Yang. (2021). Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting. arXiv (Cornell University). 11 indexed citations

17.

Hu, Jilin, Chenjuan Guo, Bin Yang, & Christian S. Jensen. (2019). Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. VBN Forskningsportal (Aalborg Universitet). 1274–1285. 74 indexed citations

18.

Guo, Chenjuan, Bin Yang, Ove Andersen, Christian S. Jensen, & Kristian Torp. (2015). EcoSky: Reducing vehicular environmental impact through eco-routing. VBN Forskningsportal (Aalborg Universitet). 1412–1415. 47 indexed citations

19.

Guo, Chenjuan, Bin Yang, Ove Andersen, Christian S. Jensen, & Kristian Torp. (2014). EcoMark 2.0: empowering eco-routing with vehicular environmental models and actual vehicle fuel consumption data. GeoInformatica. 19(3). 567–599. 52 indexed citations

20.

Hedeler, Cornelia, Khalid Belhajjame, Norman W. Paton, et al.. (2010). Flexible Dataspace Management Through Model Management. Research Explorer (The University of Manchester). 1–1. 2 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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