Tie Chen

1.4k total citations
96 papers, 1.1k citations indexed

About

Tie Chen is a scholar working on Organic Chemistry, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Tie Chen has authored 96 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Organic Chemistry, 22 papers in Electrical and Electronic Engineering and 22 papers in Materials Chemistry. Recurrent topics in Tie Chen's work include Supramolecular Self-Assembly in Materials (17 papers), Luminescence and Fluorescent Materials (11 papers) and Organic and Molecular Conductors Research (9 papers). Tie Chen is often cited by papers focused on Supramolecular Self-Assembly in Materials (17 papers), Luminescence and Fluorescent Materials (11 papers) and Organic and Molecular Conductors Research (9 papers). Tie Chen collaborates with scholars based in China, South Korea and United States. Tie Chen's co-authors include Long Yi Jin, Bingzhu Yin, Wenlong Fu, Kai Wang, Xiaojun Li, Zhijun Zhang, Huizhen Li, Jiawen Tan, Tianyu Hou and Ping Fang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Communications and Scientific Reports.

In The Last Decade

Tie Chen

87 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tie Chen China 19 261 226 218 210 127 96 1.1k
Nina Paula Gonçalves Salau Brazil 26 306 1.2× 227 1.0× 98 0.4× 101 0.5× 63 0.5× 102 1.8k
Ivana Savić Serbia 24 87 0.3× 124 0.5× 58 0.3× 128 0.6× 113 0.9× 91 1.5k
Thomas A. Duever Canada 19 216 0.8× 476 2.1× 97 0.4× 146 0.7× 319 2.5× 85 1.2k
Min‐Soo Kim South Korea 25 330 1.3× 69 0.3× 504 2.3× 81 0.4× 113 0.9× 96 1.7k
Mohammed El‐Meligy Saudi Arabia 22 307 1.2× 153 0.7× 325 1.5× 167 0.8× 113 0.9× 54 1.3k
Marcio Schwaab Brazil 22 477 1.8× 164 0.7× 92 0.4× 86 0.4× 282 2.2× 54 1.7k
Cong Zhang China 25 146 0.6× 182 0.8× 476 2.2× 56 0.3× 206 1.6× 87 1.9k
Enrique Luis Lima Brazil 23 160 0.6× 353 1.6× 90 0.4× 162 0.8× 659 5.2× 97 1.6k
Argimiro R. Secchi Brazil 25 340 1.3× 153 0.7× 161 0.7× 182 0.9× 579 4.6× 220 2.3k
Zhiyong Hu China 22 778 3.0× 252 1.1× 86 0.4× 49 0.2× 196 1.5× 80 1.5k

Countries citing papers authored by Tie Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tie Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tie Chen

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

All Works

20 of 20 papers shown
1.
Chen, Tie, et al.. (2025). Non-intrusive load monitoring based on time-enhanced multidimensional feature visualization. Scientific Reports. 15(1). 4800–4800.
2.
Chen, Tie, et al.. (2025). A regional short-term load forecasting model based on a cross-attention causal spatio-temporal convolutional network. International Journal of Electrical Power & Energy Systems. 172. 111275–111275.
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Chen, Tie, et al.. (2024). Non-intrusive load monitoring based on MoCo_v2, time series self-supervised learning. Energy and Buildings. 317. 114374–114374. 2 indexed citations
5.
Chen, Tie, et al.. (2024). Two-Stage Optimization Model Based on Neo4j-Dueling Deep Q Network. Energies. 17(19). 4998–4998.
6.
Yuan, Jiaxin, et al.. (2024). Simulation analysis on magnetic core loss characteristic of valve reactor in UHVDC system. AIP Advances. 14(2). 2 indexed citations
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Wu, Chengming, et al.. (2023). Efficiency Improvement for Wireless Power Transfer System via a Nonlinear Resistance Matching Network. Electronics. 12(6). 1341–1341. 2 indexed citations
9.
Chen, Tie, et al.. (2023). Flexible Load Multi-Step Forecasting Method Based on Non-Intrusive Load Decomposition. Electronics. 12(13). 2842–2842. 2 indexed citations
10.
Chen, Tie, et al.. (2023). A Non-Intrusive Load Monitoring Method Based on Feature Fusion and SE-ResNet. Electronics. 12(8). 1909–1909. 16 indexed citations
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Fu, Wenlong, Jiawen Tan, Xiaoyuan Zhang, Tie Chen, & Kai Wang. (2019). Blind Parameter Identification of MAR Model and Mutation Hybrid GWO‐SCA Optimized SVM for Fault Diagnosis of Rotating Machinery. Complexity. 2019(1). 52 indexed citations
13.
Cui, Lixia, et al.. (2017). Optimization of Ultrasound Assisted Extraction of Phenolic Compounds and Anthocyanins from Perilla Leaves Using Response Surface Methodology. Food Science and Technology Research. 23(4). 535–543. 14 indexed citations
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Chen, Tie, et al.. (2015). A Multi‐attribute Reliability Allocation Method Considering Uncertain Preferences. Quality and Reliability Engineering International. 32(7). 2233–2244. 30 indexed citations
17.
Chen, Tie, et al.. (2014). Research on the Data Acquisition Method of Library User Information Behavior Based on ERU: Take Fudan University Library for Example. 33(12). 10–16. 1 indexed citations
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Chen, Tie, et al.. (2000). RELIABILITY ANALYSIS OF CABLE-STAYED BRIDGES CONSIDERING GEOMETRICAL NON-LINEARITY. Journal of Tongji University. 28(4). 1 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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