Ning Chen

3.0k total citations · 2 hit papers
108 papers, 2.0k citations indexed

About

Ning Chen is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ning Chen has authored 108 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 23 papers in Information Systems and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ning Chen's work include Imbalanced Data Classification Techniques (18 papers), Financial Distress and Bankruptcy Prediction (16 papers) and Data Mining Algorithms and Applications (9 papers). Ning Chen is often cited by papers focused on Imbalanced Data Classification Techniques (18 papers), Financial Distress and Bankruptcy Prediction (16 papers) and Data Mining Algorithms and Applications (9 papers). Ning Chen collaborates with scholars based in China, Portugal and United States. Ning Chen's co-authors include An Chen, Bernardete Ribeiro, Steven C. H. Hoi, Xiaokui Xiao, Jialiu Lin, Yongquan Yang, Armando Vieira, Sunghun Kim, João Carvalho das Neves and Zhiyuan Yan and has published in prestigious journals such as IEEE Transactions on Signal Processing, Expert Systems with Applications and Energy Economics.

In The Last Decade

Ning Chen

91 papers receiving 1.9k citations

Hit Papers

AR-miner: mining informative reviews for developers from ... 2014 2026 2018 2022 2014 2022 100 200 300
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.

  1. AR-miner: mining informative reviews for developers from mobile app marketplace
    2014 356 citations Ning Chen, Steven C. H. Hoi et al. profile →
  2. A Survey on ensemble learning under the era of deep learning
    2022 178 citations Ning Chen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Chen China 21 643 515 280 230 170 108 2.0k
Zijiang Yang China 28 550 0.9× 325 0.6× 231 0.8× 143 0.6× 287 1.7× 197 3.3k
Gordon S. Linoff Italy 7 829 1.3× 846 1.6× 67 0.2× 131 0.6× 163 1.0× 10 2.1k
Zhihua Zhou China 8 1.5k 2.4× 200 0.4× 157 0.6× 584 2.5× 113 0.7× 18 2.3k
Sungzoon Cho South Korea 31 1.0k 1.6× 479 0.9× 122 0.4× 465 2.0× 96 0.6× 129 2.6k
Ari Visa Finland 22 579 0.9× 116 0.2× 116 0.4× 614 2.7× 80 0.5× 129 2.1k
Bianca Zadrozny United States 22 2.9k 4.5× 561 1.1× 83 0.3× 643 2.8× 206 1.2× 56 3.9k
Randall Wald United States 20 1.5k 2.3× 609 1.2× 51 0.2× 483 2.1× 431 2.5× 70 3.3k
Bernardete Ribeiro Portugal 28 1.2k 1.8× 228 0.4× 337 1.2× 476 2.1× 111 0.7× 210 3.0k
Yuan Zhang China 26 1.4k 2.1× 1.4k 2.8× 430 1.5× 221 1.0× 544 3.2× 157 3.0k

Countries citing papers authored by Ning Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ning Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Chen. A scholar is included among the top collaborators of Ning 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 Ning Chen. Ning 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
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Jin, Xiu, et al.. (2024). Extreme risk spillovers in international energy markets: New insights from multilayer networks in the frequency domain. Energy Economics. 139. 107908–107908. 2 indexed citations
5.
Ma, Yibing, et al.. (2024). How does climate policy uncertainty shape corporate investment behavior?. Research in International Business and Finance. 74. 102696–102696. 31 indexed citations
6.
Chen, Ning, et al.. (2024). High-power spectral beam combining based on 890nm laser diode array. Optics Communications. 577. 131365–131365.
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Chen, Ning, et al.. (2024). Comprehensive evaluation of classification: an empirical study on consequence prediction of construction accidents in China. Construction Innovation. 25(4). 1210–1230. 1 indexed citations
8.
Wang, Jun, et al.. (2023). Prediction Model of Fouling Thickness of Heat Exchanger Based on TA-LSTM Structure. Processes. 11(9). 2594–2594. 8 indexed citations
9.
Wang, Ke, Ning Chen, & Ting Chen. (2020). Joint Medical Ontology Representation Learning for Healthcare Predictions. 1–7. 1 indexed citations
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Zhang, Qiuyu, et al.. (2016). An Information Hiding Algorithm for Speech Perceptual Hashing Authentication System in G.729 Bitstream.. J. Inf. Hiding Multim. Signal Process.. 7. 1031–1040. 1 indexed citations
12.
Chen, Ning, et al.. (2016). Improve credit scoring using transfer of learned knowledge from self-organizing map. Neural Computing and Applications. 28(6). 1329–1342. 26 indexed citations
13.
Chen, Ning, et al.. (2015). Simulations of far-field optical beam quality influenced by the thermal distortion of the secondary mirror for high-power laser system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9255. 92553G–92553G. 1 indexed citations
14.
Chen, Ning, Bernardete Ribeiro, Armando Vieira, João Duarte, & João Carvalho das Neves. (2011). Extension of Learning Vector Quantization to Cost-sensitive Learning. International Journal of Computer Theory and Engineering. 352–359. 2 indexed citations
15.
Chen, Ning, Steven C. H. Hoi, & Xiaokui Xiao. (2011). Software process evaluation: A machine learning approach. 333–342. 20 indexed citations
16.
Chen, Ning, Armando Vieira, & João Duarte. (2009). Cost-sensitive LVQ for bankruptcy prediction: An empirical study. 115–119. 7 indexed citations
17.
Chen, Ning & An Chen. (2009). THE ROLE OF DATA MINING TECHNIQUES IN EMERGENCY MANAGEMENT. 118–123. 1 indexed citations
18.
Sun, Mengdi, Ning Chen, Guochun Zhao, et al.. (2008). U-Pb Zircon and Sm-Nd isotopic study of the huangtuling granulite, dabie-sulu belt, China: Implication for the paleoproterozoic tectonic history of the yangtze craton. American Journal of Science. 308(4). 469–483. 135 indexed citations
19.
Chen, Ning & Jie Zhu. (2007). A Robust Zero-Watermarking Algorithm for Audio. EURASIP Journal on Advances in Signal Processing. 2008(1). 21 indexed citations
20.
Chen, Ning, et al.. (2001). A fast algorithm for mining sequential patterns from large databases. Journal of Computer Science and Technology. 16(4). 359–370. 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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