Xinru Chen

565 total citations · 1 hit paper
12 papers, 330 citations indexed

About

Xinru Chen is a scholar working on Computer Vision and Pattern Recognition, Water Science and Technology and Artificial Intelligence. According to data from OpenAlex, Xinru Chen has authored 12 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Water Science and Technology and 2 papers in Artificial Intelligence. Recurrent topics in Xinru Chen's work include Hydrological Forecasting Using AI (2 papers), Hydrology and Watershed Management Studies (2 papers) and Flood Risk Assessment and Management (2 papers). Xinru Chen is often cited by papers focused on Hydrological Forecasting Using AI (2 papers), Hydrology and Watershed Management Studies (2 papers) and Flood Risk Assessment and Management (2 papers). Xinru Chen collaborates with scholars based in China, United States and Hong Kong. Xinru Chen's co-authors include Xirong Li, Juan Cao, Jiaqi Ji, Jiefeng Liu, Yu Fang, Weinan Zhang, Chongxun Mo, Wei Zhang, Wei Sun and Lu Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Alloys and Compounds and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Xinru Chen

9 papers receiving 326 citations

Hit Papers

MVSS-Net: Multi-View Multi-Scale Supervised Networks for ... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinru Chen China 6 277 120 82 37 17 12 330
Beste Üstübioğlu Türkiye 11 304 1.1× 97 0.8× 68 0.8× 34 0.9× 5 0.3× 35 356
Cody Simons United States 2 273 1.0× 98 0.8× 62 0.8× 38 1.0× 8 0.5× 3 306
Yuzhuo Ren United States 6 305 1.1× 126 1.1× 62 0.8× 42 1.1× 4 0.2× 10 317
In-Jae Yu South Korea 11 291 1.1× 98 0.8× 58 0.7× 35 0.9× 3 0.2× 18 321
Xinwei Zhao China 9 286 1.0× 110 0.9× 35 0.4× 6 0.2× 13 0.8× 18 353
Zenan Shi China 9 242 0.9× 83 0.7× 52 0.6× 41 1.1× 2 0.1× 20 273
Jianquan Yang China 9 302 1.1× 102 0.8× 20 0.2× 16 0.4× 12 0.7× 16 319
Sushila Maheshkar India 9 173 0.6× 65 0.5× 35 0.4× 31 0.8× 7 0.4× 23 223
Kunj Bihari Meena India 8 220 0.8× 96 0.8× 17 0.2× 64 1.7× 5 0.3× 12 261
Massimo Iuliani Italy 9 402 1.5× 70 0.6× 62 0.8× 23 0.6× 3 0.2× 24 422

Countries citing papers authored by Xinru Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xinru Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinru Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xinru Chen. A scholar is included among the top collaborators of Xinru Chen 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 Xinru Chen. Xinru Chen 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.
Chen, Xinru, et al.. (2025). Hyperband algorithm optimised CNN for accelerating MAPoD and sensitivity analysis in ECNDT. Nondestructive Testing And Evaluation. 41(1). 364–391.
2.
Liu, Yan, Xinru Chen, Claudia Eckert, & Xin Zhang. (2024). A Fuzzy Ontology-Based Decision Tool for Concept Selection to Maintain Consistency Throughout Design Iterations. Journal of Mechanical Design. 146(10).
3.
Sun, Wei, et al.. (2024). Spectrophotometric Determination of Total Phosphorus in Fresh Water Using Ammonium Molybdate. Sensors and Materials. 36(5). 2113–2113. 6 indexed citations
4.
5.
Chen, Xinru, Tao Shi, Dajun Wu, et al.. (2022). Fan-shape Mn-doped CoO/C microspheres for high lithium-ion storage capacity. Journal of Alloys and Compounds. 903. 163980–163980. 9 indexed citations
6.
Mo, Chongxun, et al.. (2022). Evaluation of Hydrological Simulation in a Karst Basin with Different Calibration Methods and Rainfall Inputs. Atmosphere. 13(5). 844–844. 5 indexed citations
7.
Chen, Xinru, et al.. (2022). MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 3539–3553. 148 indexed citations breakdown →
8.
Wang, Lu, Lei Han, Xinru Chen, et al.. (2021). Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. IEEE Transactions on Neural Networks and Learning Systems. 33(10). 5361–5373. 5 indexed citations
9.
Chen, Xinru, et al.. (2021). Image Manipulation Detection by Multi-View Multi-Scale Supervision. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14165–14173. 148 indexed citations
10.
Chen, Xinru, et al.. (2021). High utility pattern mining based on historical data table over data streams. 368–376. 3 indexed citations
11.
Chen, Xinru, et al.. (2021). Multi-Level Visual Representation with Semantic-Reinforced Learning for Video Captioning. 4750–4754. 3 indexed citations
12.

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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