Shengchun Deng

2.3k total citations · 1 hit paper
28 papers, 1.2k citations indexed

About

Shengchun Deng is a scholar working on Artificial Intelligence, Management Information Systems and Signal Processing. According to data from OpenAlex, Shengchun Deng has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Management Information Systems and 7 papers in Signal Processing. Recurrent topics in Shengchun Deng's work include Advanced Clustering Algorithms Research (9 papers), Time Series Analysis and Forecasting (4 papers) and Quality and Supply Management (4 papers). Shengchun Deng is often cited by papers focused on Advanced Clustering Algorithms Research (9 papers), Time Series Analysis and Forecasting (4 papers) and Quality and Supply Management (4 papers). Shengchun Deng collaborates with scholars based in China, Hong Kong and Pakistan. Shengchun Deng's co-authors include Zengyou He, Xiaofei Xu, Xiaofei Xu, Zhexue Huang, Joshua Zhexue Huang, Lina Zhou, Xutao Li, Ting Huang, Yunming Ye and Xiaohui Huang and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Pattern Recognition Letters.

In The Last Decade

Shengchun Deng

25 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Discovering cluster-based local outliers

2003 671 citations Zengyou He, Xiaofei Xu et al. Pattern Recognition Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shengchun Deng China	10	980	359	245	144	136	28	1.2k
Stephen D. Bay United States	14	1.1k 1.1×	365 1.0×	352 1.4×	362 2.5×	157 1.2×	19	1.5k
Amol Ghoting United States	16	656 0.7×	368 1.0×	226 0.9×	297 2.1×	174 1.3×	31	1.0k
Andrew O. Arnold United States	12	985 1.0×	384 1.1×	222 0.9×	205 1.4×	203 1.5×	23	1.3k
H. Kargupta United States	17	1.2k 1.2×	434 1.2×	205 0.8×	279 1.9×	169 1.2×	33	1.6k
Qinbao Song China	20	1.1k 1.1×	196 0.5×	136 0.6×	320 2.2×	403 3.0×	53	1.7k
Christopher Jermaine United States	21	763 0.8×	794 2.2×	669 2.7×	300 2.1×	173 1.3×	57	1.4k
Hwanjo Yu South Korea	16	731 0.7×	150 0.4×	78 0.3×	158 1.1×	169 1.2×	42	1.1k
Zied Elouedi Tunisia	15	518 0.5×	90 0.3×	91 0.4×	195 1.4×	83 0.6×	64	883
Zhihai Wang China	12	787 0.8×	112 0.3×	182 0.7×	294 2.0×	159 1.2×	47	1.1k
Chris Giannella United States	14	786 0.8×	571 1.6×	352 1.4×	439 3.0×	107 0.8×	35	1.2k

Countries citing papers authored by Shengchun Deng

Since Specialization

Citations

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

Fields of papers citing papers by Shengchun Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengchun Deng

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

All Works

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20 of 20 papers shown

He, Zengyou, et al.. (2016). Protein inference: A protein quantification perspective. Computational Biology and Chemistry. 63. 21–29. 9 indexed citations

Huang, Xiaohui, et al.. (2013). A Topic Detection Approach Through Hierarchical Clustering on Concept Graph. Applied Mathematics & Information Sciences. 7(6). 2285–2295. 10 indexed citations

Zhou, Lina, Xiaofei Xu, Shengchun Deng, & Xudong Liu. (2013). Redesigning a Supply Chain Distribution Network: Formulation and Genetic Algorithm-Based Solution Procedure. International Journal of Information Technology & Decision Making. 14(4). 847–876. 2 indexed citations

Zhou, Lina, Xiaofei Xu, & Shengchun Deng. (2011). A multi-objective programming approach for designing complicated logistics network. International Journal of Logistics Systems and Management. 9(4). 419–419. 8 indexed citations

He, Zengyou, Xiaofei Xu, Shengchun Deng, & Joshua Zhexue Huang. (2011). Clustering categorical data streams. Journal of Computational Methods in Sciences and Engineering. 11(4). 185–192. 3 indexed citations

Deng, Shengchun. (2009). Ontology representation method for virtual enterprise model. Computer Integrated Manufacturing Systems.

Deng, Shengchun. (2009). Differentiation-oriented integrated model for service evaluation in supply chain management. Computer Integrated Manufacturing Systems.

Deng, Shengchun, Zengyou He, & Xiaofei Xu. (2009). G-ANMI: A mutual information based genetic clustering algorithm for categorical data. Knowledge-Based Systems. 23(2). 144–149. 42 indexed citations

Liu, Xiaofeng, Xiaofei Xu, & Shengchun Deng. (2009). A Petri-net-Based Simulation and Optimization approach for IEM and EI. 9. 129–134. 2 indexed citations

10.

Zhou, Lina, Xiaofei Xu, & Shengchun Deng. (2008). An analytic model for measuring customer's service preferences in manufacturing supply chain. 2490–2495. 8 indexed citations

11.

Xu, Xiaofei, et al.. (2007). K-means Clustering - A Survey.. 190–196. 4 indexed citations

12.

Xu, Xiaofei, et al.. (2007). Clustering Approach for Fissuring Forrester's Effect.. 118–126. 2 indexed citations

13.

Xu, Xiaofei, et al.. (2007). Clustering Framework for Supply Chain Management (SCM) System. 41. 422–426. 5 indexed citations

14.

Xu, Xiaofei, et al.. (2007). Clustering Framework for Supply Chain Management (SCM) System. 1 indexed citations

15.

He, Zengyou, Xiaofei Xu, & Shengchun Deng. (2006). k-ANMI: A mutual information based clustering algorithm for categorical data. Information Fusion. 9(2). 223–233. 57 indexed citations

16.

He, Zengyou, Xiaofei Xu, & Shengchun Deng. (2005). TCSOM: Clustering Transactions Using Self-Organizing Map. Neural Processing Letters. 22(3). 249–262. 17 indexed citations

17.

He, Zengyou, Xiaofei Xu, Zhexue Huang, & Shengchun Deng. (2005). FP-outlier: Frequent pattern based outlier detection. Computer Science and Information Systems. 2(1). 103–118. 126 indexed citations

18.

He, Zengyou, Xiaofei Xu, & Shengchun Deng. (2005). Scalable algorithms for clustering large datasets with mixed type attributes. International Journal of Intelligent Systems. 20(10). 1077–1089. 49 indexed citations

19.

He, Zengyou, Xiaofei Xu, Joshua Zhexue Huang, & Shengchun Deng. (2004). Mining class outliers: concepts, algorithms and applications in CRM. Expert Systems with Applications. 27(4). 681–697. 49 indexed citations

20.

He, Zengyou, Xiaofei Xu, & Shengchun Deng. (2003). Discovering cluster-based local outliers. Pattern Recognition Letters. 24(9-10). 1641–1650. 671 indexed citations breakdown →

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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