Ling Cen

1.3k total citations
57 papers, 950 citations indexed

About

Ling Cen is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ling Cen has authored 57 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 22 papers in Signal Processing and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ling Cen's work include Advanced Adaptive Filtering Techniques (9 papers), Digital Filter Design and Implementation (8 papers) and Anomaly Detection Techniques and Applications (7 papers). Ling Cen is often cited by papers focused on Advanced Adaptive Filtering Techniques (9 papers), Digital Filter Design and Implementation (8 papers) and Anomaly Detection Techniques and Applications (7 papers). Ling Cen collaborates with scholars based in United Arab Emirates, Singapore and China. Ling Cen's co-authors include Dymitr Ruta, Zhu Liang Yu, Wee Ser, Jason Ng, Wei Cen, Quang Hieu Vu, Malin Song, Xi Liang, Ron Fisher and Donald Huisingh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Ling Cen

54 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Cen United Arab Emirates 16 194 183 181 176 99 57 950
Adam Wojciechowski Poland 17 61 0.3× 67 0.4× 32 0.2× 76 0.4× 68 0.7× 79 855
Pankaj Agarwal India 14 80 0.4× 134 0.7× 167 0.9× 31 0.2× 245 2.5× 55 753
Yi Su China 18 96 0.5× 195 1.1× 57 0.3× 252 1.4× 67 0.7× 74 1.1k
John M. Colombi United States 13 125 0.6× 142 0.8× 35 0.2× 43 0.2× 39 0.4× 76 624
Yuanzhu Chen Canada 18 59 0.3× 222 1.2× 87 0.5× 363 2.1× 89 0.9× 80 1.3k
Maaruf Ali United Kingdom 16 52 0.3× 209 1.1× 53 0.3× 253 1.4× 254 2.6× 72 1.1k
Aske Plaat Netherlands 18 49 0.3× 627 3.4× 42 0.2× 123 0.7× 163 1.6× 82 1.5k
Zhiwei Zhang China 15 44 0.2× 206 1.1× 93 0.5× 119 0.7× 199 2.0× 121 1.1k
Ramón Brena Mexico 16 176 0.9× 240 1.3× 132 0.7× 463 2.6× 328 3.3× 59 1.1k
Lu Bai China 23 43 0.2× 700 3.8× 80 0.4× 39 0.2× 526 5.3× 81 1.4k

Countries citing papers authored by Ling Cen

Since Specialization
Citations

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

Fields of papers citing papers by Ling Cen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Cen

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Cen. A scholar is included among the top collaborators of Ling Cen 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 Ling Cen. Ling Cen 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.
Cen, Ling, et al.. (2025). A Multi-Stage Framework for Chess Puzzle Difficulty Prediction. Annals of Computer Science and Information Systems. 43. 807–812. 1 indexed citations
2.
Liu, Ming, Ling Cen, Dymitr Ruta, & Quang Hieu Vu. (2024). Exploring Stability and Performance of hybrid Gradient Boosting Classification and Regression Models in Sectors Stock Trend Prediction: A Tale of Preliminary Success and Final Challenge. SHILAP Revista de lepidopterología. 39. 761–766. 2 indexed citations
3.
Ruta, Dymitr, Ming Liu, & Ling Cen. (2024). Moves Based Prediction of Chess Puzzle Difficulty with Convolutional Neural Networks. 8390–8395. 7 indexed citations
4.
Ruta, Dymitr, Ming Liu, Ling Cen, & Di Wang. (2023). Feature Engineering for Predicting Frags in Tactical Games. 28–33. 4 indexed citations
5.
Ruta, Dymitr, Ming Liu, & Ling Cen. (2023). Beating Gradient Boosting: Target-Guided Binning for Massively Scalable Classification in Real-Time. SHILAP Revista de lepidopterología. 35. 1301–1306. 2 indexed citations
6.
Ruta, Dymitr, Ling Cen, Ming Liu, & Quang Hieu Vu. (2021). Automated feature engineering for prediction of victories in online computer games. 2021 IEEE International Conference on Big Data (Big Data). 5672–5678. 9 indexed citations
7.
Cen, Ling, Andrzej Ruta, Dymitr Ruta, & Quang Hieu Vu. (2018). Regression Networks for Robust Win-rates Predictions of AI Gaming Bots. SHILAP Revista de lepidopterología. 15. 181–184. 7 indexed citations
8.
Cen, Ling, Zhu Liang Yu, Tilmann Kluge, & Wee Ser. (2018). Automatic System for Obstructive Sleep Apnea Events Detection Using Convolutional Neural Network. PubMed. 2018. 3975–3978. 40 indexed citations
9.
Vu, Quang Hieu, Dymitr Ruta, Andrzej Ruta, & Ling Cen. (2018). Predicting Win-rates of Hearthstone Decks: Models and Features that Won AAIA’2018 Data Mining Challenge. SHILAP Revista de lepidopterología. 15. 197–200. 9 indexed citations
10.
Cen, Ling, Dymitr Ruta, Leigh Powell, Benjamin Hirsch, & Jason Ng. (2016). Quantitative approach to collaborative learning: performance prediction, individual assessment, and group composition. International Journal of Computer-Supported Collaborative Learning. 11(2). 187–225. 82 indexed citations
11.
Song, Malin, Ling Cen, Ron Fisher, et al.. (2015). Improving natural resource management and human health to ensure sustainable societal development based upon insights gained from working within ‘Big Data Environments’. Journal of Cleaner Production. 94. 1–4. 20 indexed citations
12.
Cen, Ling, Dymitr Ruta, & Jason Ng. (2015). Big education: Opportunities for Big Data analytics. 502–506. 27 indexed citations
13.
Cen, Ling, et al.. (2012). Template-based personalized singing voice synthesis. 3. 4509–4512. 17 indexed citations
14.
Cen, Ling, Wee Ser, Wei Cen, & Zhu Liang Yu. (2010). Linear sparse array synthesis via convex optimization. 4233–4236. 18 indexed citations
15.
Dong, Minghui, et al.. (2010). Aligning singing voice with MIDI melody using synthesized audio signal. 95–98. 2 indexed citations
16.
Cen, Ling, Zhu Liang Yu, & Wee Ser. (2009). Antenna array synthesis in presence of mutual coupling effect for low cost implementation. 360–363. 3 indexed citations
17.
18.
Cen, Ling. (2007). Frequency response masking filter design using an oscillation search genetic algorithm. Signal Processing. 87(12). 3086–3095. 3 indexed citations
19.
Cen, Ling. (2006). A Mixture of Eulogy,Weep,Toy and Sorrow The Features of the Ballad of Espousal Weepingly of the Gelao Minority.
20.
Lian, Yong & Ling Cen. (2003). A genetic algorithm for the design of low power high-speed FIR filters. 181–184 vol.1. 6 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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