Chang Su

527 total citations
38 papers, 329 citations indexed

About

Chang Su is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chang Su has authored 38 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 12 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chang Su's work include Recommender Systems and Techniques (12 papers), Human Mobility and Location-Based Analysis (6 papers) and Caching and Content Delivery (4 papers). Chang Su is often cited by papers focused on Recommender Systems and Techniques (12 papers), Human Mobility and Location-Based Analysis (6 papers) and Caching and Content Delivery (4 papers). Chang Su collaborates with scholars based in China, United States and South Korea. Chang Su's co-authors include Sargur N. Srihari, Yijiang Chen, Thomas E. Daniels, Abolfazl Razi, Xin Liu, Kewen Xia, Yongjun Zhu, Bo Jin, Fei Wang and Chao Che and has published in prestigious journals such as IEEE Access, Neurocomputing and Applied Sciences.

In The Last Decade

Chang Su

35 papers receiving 312 citations

Peers

Chang Su
Michele Donini Italy
Simone Romano Australia
Hsiang‐Fu Yu Taiwan
N. Sasikaladevi India
Hiroki Nomiya Japan
Gábor Bella Italy
Hadi Zare Iran
Francisco J. Valverde-Albacete Spain
Yuxuan Wei China
Michele Donini Italy
Chang Su
Citations per year, relative to Chang Su Chang Su (= 1×) peers Michele Donini

Countries citing papers authored by Chang Su

Since Specialization
Citations

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

Fields of papers citing papers by Chang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Su. A scholar is included among the top collaborators of Chang Su 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 Chang Su. Chang Su 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.
Du, Ping, et al.. (2024). Resilience optimization analysis of smart mining cluster cyber-physical systems based on the NK model. Process Safety and Environmental Protection. 192. 321–330.
2.
Su, Chang, et al.. (2024). Efficient Visual Metaphor Image Generation Based on Metaphor Understanding. Neural Processing Letters. 56(3). 2 indexed citations
3.
Su, Chang, et al.. (2023). Knowledge Prompt for Whisper: An ASR Entity Correction Approach with Knowledge Base. 2975–2979. 1 indexed citations
4.
5.
Su, Chang, et al.. (2020). Dilated Convolution and Feature Fusion SSD Network for Small Object Detection in Remote Sensing Images. IEEE Access. 8. 82832–82843. 47 indexed citations
6.
Wang, Hang, Youtian Du, Guangxun Zhang, Zhongmin Cai, & Chang Su. (2020). Learning Fundamental Visual Concepts Based on Evolved Multi-Edge Concept Graph. IEEE Transactions on Multimedia. 23. 4400–4413. 1 indexed citations
7.
Zhu, Yongjun, et al.. (2020). Knowledge-driven drug repurposing using a comprehensive drug knowledge graph. Health Informatics Journal. 26(4). 2737–2750. 41 indexed citations
8.
Su, Chang, et al.. (2020). I_ConvCF. 13–18. 2 indexed citations
9.
Du, Youtian, et al.. (2019). Kernel-Based Mixture Mapping for Image and Text Association. IEEE Transactions on Multimedia. 22(2). 365–379. 3 indexed citations
10.
Jiao, Dian, et al.. (2019). Non-Intrusive Load Disaggregation by Linear Classifier Group Considering Multi-Feature Integration. Applied Sciences. 9(17). 3558–3558. 9 indexed citations
11.
Su, Chang, et al.. (2019). Point of Interest Recommendation Based on User's Interest and Geographic Factors. 46(4). 228–234. 2 indexed citations
12.
Su, Chang, et al.. (2018). Point-of-Interest Recommendation Based on Spatial Clustering in LBSN. 53. 7–12. 1 indexed citations
13.
Su, Chang, et al.. (2017). A collaborative filtering recommendation algorithm based on weighted SimRank and social trust. AIP conference proceedings. 1839. 20186–20186. 1 indexed citations
14.
Su, Chang, et al.. (2017). Temporal Markov Chain Location Prediction. DEStech Transactions on Materials Science and Engineering. 1 indexed citations
15.
Su, Chang, et al.. (2016). Automatic detection and interpretation of nominal metaphor based on the theory of meaning. Neurocomputing. 219. 300–311. 36 indexed citations
16.
Su, Chang, Yue Yu, Xianzhong Xie, & Yukun Wang. (2015). Data Sensitive Recommendation Based On Community Detection. Foundations of Computing and Decision Sciences. 40(2). 143–159. 1 indexed citations
17.
Su, Chang, et al.. (2015). Latent semantic similarity based interpretation of Chinese metaphors. Engineering Applications of Artificial Intelligence. 48. 188–203. 13 indexed citations
18.
Su, Chang & Sargur N. Srihari. (2010). Evaluation of Rarity of Fingerprints in Forensics. Neural Information Processing Systems. 23. 1207–1215. 16 indexed citations
19.
Su, Chang, et al.. (2010). Vector-Based Low-Delay Forwarding Protocol for Underwater Wireless Sensor Networks. 26. 178–181. 11 indexed citations
20.
Su, Chang & Sargur N. Srihari. (2008). Generative models for fingerprint individuality using ridge models. Proceedings - International Conference on Pattern Recognition. 1–4. 7 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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