Lu Chen
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Transportation top 2%
- Human Mobility and Location-Based Analysis
Papers in ⓘ
-
- Data Management and Algorithms 49
- Time Series Analysis and Forecasting 13
- Co-authors
- Yunjun Gao (86 shared papers)Christian S. Jensen (27 shared papers)Ziquan Fang (18 shared papers)Baihua Zheng (20 shared papers)Qiang Su (1 shared paper)Yuntao Du (9 shared papers)Gang Chen (8 shared papers)Xiaoye Miao (11 shared papers)
In The Last Decade
Lu Chen
186 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 189
- Signal Processing 529
- Transportation 167
- Artificial Intelligence 743
- Information Systems 414
- Computer Networks and Communications 380
Countries citing papers authored by Lu Chen
This map shows the geographic impact of Lu Chen'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 Lu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Chen more than expected).
Fields of papers citing papers by Lu Chen
This network shows the impact of papers produced by Lu Chen. 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 Lu Chen. The network helps show where Lu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 210 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 109 | |
| 2 | 2018 | 108 | |
| 3 | 2022 | 101 | |
| 4 | 2019 | 91 | |
| 5 | 2014 | 79 | |
| 6 | 2020 | 75 | |
| 7 | 2018 | 71 | |
| 8 | 2018 | 64 | |
| 9 | 2022 | 61 | |
| 10 | 2023 | 56 | |
| 11 | 2016 | 56 | |
| 12 | 2020 | 53 | |
| 13 | 2022 | 52 | |
| 14 | 2019 | 48 | |
| 15 | 2020 | 47 | |
| 16 | 2022 | 43 | |
| 17 | 2018 | 43 | |
| 18 | 2017 | 43 | |
| 19 | 2020 | 43 | |
| 20 | 2022 | 40 |
About Lu Chen
Lu Chen is a scholar working on Signal Processing, Computational Mathematics, Artificial Intelligence, Transportation and Geography, Planning and Development, having authored 210 papers that have together received 2.8k indexed citations. Recurring topics across this work include Data Management and Algorithms (49 papers), Topic Modeling (17 papers), Advanced Image and Video Retrieval Techniques (14 papers), Time Series Analysis and Forecasting (13 papers), Advanced Database Systems and Queries (13 papers), Data Quality and Management (11 papers), Human Mobility and Location-Based Analysis (11 papers) and Advanced Graph Neural Networks (10 papers). The work is most often cited by research in Signal Processing (529 citations), Transportation (167 citations), Artificial Intelligence (743 citations), Information Systems (414 citations) and Computer Networks and Communications (380 citations). Lu Chen has collaborated with scholars based in China, Denmark and Singapore. Frequent co-authors include Yunjun Gao, Christian S. Jensen, Ziquan Fang, Baihua Zheng, Qiang Su, Yuntao Du, Gang Chen, Xiaoye Miao, Jian Wan and Yuyu Yin. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, World Wide Web, The VLDB Journal and IEEE Access.
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.