Wei-Ting Chang

711 total citations
20 papers, 392 citations indexed

About

Wei-Ting Chang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wei-Ting Chang has authored 20 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wei-Ting Chang's work include Privacy-Preserving Technologies in Data (6 papers), Stochastic Gradient Optimization Techniques (6 papers) and Cryptography and Data Security (3 papers). Wei-Ting Chang is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Stochastic Gradient Optimization Techniques (6 papers) and Cryptography and Data Security (3 papers). Wei-Ting Chang collaborates with scholars based in United States, Taiwan and South Korea. Wei-Ting Chang's co-authors include Ravi Tandon, Shih-Jung Wu, She-I Chang, David C. Yen, Celeste See-Pui Ng, Eunyoung Han, Heesun Chung, Wenjing Yu, Jih‐Heng Li and L. P. Chow and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Public Health and IEEE Transactions on Signal Processing.

In The Last Decade

Wei-Ting Chang

20 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei-Ting Chang United States	9	174	121	46	39	38	20	392
Mamta India	10	189 1.1×	117 1.0×	30 0.7×	39 1.0×	20 0.5×	35	484
Arjen Hommersom Netherlands	12	199 1.1×	33 0.3×	21 0.5×	32 0.8×	15 0.4×	49	424
Yilei Wang China	9	140 0.8×	50 0.4×	41 0.9×	23 0.6×	6 0.2×	49	268
Darko Huljenić Croatia	10	52 0.3×	184 1.5×	55 1.2×	11 0.3×	13 0.3×	52	341
Arkady Yerukhimovich United States	9	181 1.0×	69 0.6×	25 0.5×	23 0.6×	19 0.5×	19	276
Eslam Nazemi Iran	10	72 0.4×	127 1.0×	33 0.7×	4 0.1×	73 1.9×	52	375
Matthew Herland United States	7	281 1.6×	28 0.2×	46 1.0×	10 0.3×	45 1.2×	9	453
Enrique Moguel Spain	10	120 0.7×	116 1.0×	33 0.7×	7 0.2×	17 0.4×	29	359
Ah Reum Kang South Korea	12	123 0.7×	118 1.0×	9 0.2×	10 0.3×	6 0.2×	42	477
Milan Vukičević Serbia	12	170 1.0×	21 0.2×	14 0.3×	17 0.4×	16 0.4×	27	408

Countries citing papers authored by Wei-Ting Chang

Since Specialization

Citations

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

Fields of papers citing papers by Wei-Ting Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei-Ting Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Ting Chang. A scholar is included among the top collaborators of Wei-Ting Chang 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 Wei-Ting Chang. Wei-Ting Chang 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

Chang, Wei-Ting, et al.. (2022). Differentially Private Federated Learning with Drift Control. 240–245. 1 indexed citations

Chang, Wei-Ting, et al.. (2021). Heterogeneity Aware Two-Stage Group Testing. IEEE Transactions on Signal Processing. 69. 3977–3990. 3 indexed citations

Chang, Wei-Ting, et al.. (2021). Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation. IEEE Journal on Selected Areas in Communications. 39(12). 3821–3835. 29 indexed citations

Chang, Wei-Ting, et al.. (2021). On the Necessity of Aligning Gradients for Wireless Federated Learning. 226–230. 1 indexed citations

Chang, Wei-Ting & Ravi Tandon. (2020). MAC Aware Quantization for Distributed Gradient Descent. abs 1109 5647. 1–6. 2 indexed citations

Chang, Wei-Ting, et al.. (2019). Revisiting HERQL, the hernia-specific quality-of-life assessment instrument, to extend the clinical applicability for abdominal wall hernias. Hernia. 24(4). 771–780. 8 indexed citations

Chang, Wei-Ting, et al.. (2019). Poor Activities of Daily Living Function Reflect Poor Quality of Life after Hip Fracture Surgery for Geriatric Patients. SHILAP Revista de lepidopterología. 2(2). 41–46. 8 indexed citations

Chang, Wei-Ting & Ravi Tandon. (2019). On the Upload versus Download Cost for Secure and Private Matrix Multiplication. 1–5. 26 indexed citations

Chang, Wei-Ting & Ravi Tandon. (2019). Random Sampling for Distributed Coded Matrix Multiplication. 8187–8191. 6 indexed citations

10.

Chang, Wei-Ting & Ravi Tandon. (2018). On the Capacity of Secure Distributed Matrix Multiplication. 1–6. 97 indexed citations

11.

Chang, Wei-Ting, et al.. (2018). ON THE TRADEOFF BETWEEN MODE COLLAPSE AND SAMPLE QUALITY IN GENERATIVE ADVERSARIAL NETWORKS. 1184–1188. 10 indexed citations

12.

Chang, Wei-Ting & Ravi Tandon. (2018). ON THE CAPACITY OF SECURE DISTRIBUTED FAST FOURIER TRANSFORM. abs 1801 10292. 653–657. 2 indexed citations

13.

Wu, Shih-Jung, et al.. (2017). An Interactive Telecare System Enhanced with IoT Technology. IEEE Pervasive Computing. 16(3). 62–69. 23 indexed citations

14.

Chang, Wei-Ting, Ravi Tandon, & Osvaldo Simeone. (2017). Cache-aided content delivery in fog-RAN systems with topological information and no CSI. abs11701 6303. 526–530. 3 indexed citations

15.

Yu, Wenjing, et al.. (2016). Comparison of illegal drug use pattern in Taiwan and Korea from 2006 to 2014. Substance Abuse Treatment Prevention and Policy. 11(1). 34–34. 40 indexed citations

16.

Wu, Shih-Jung, et al.. (2016). A Context-Aware, Interactive M-Health System for Diabetics. IT Professional. 18(3). 14–22. 62 indexed citations

17.

Chang, Wei-Ting, et al.. (2015). MAC Throughput Improvement Using Adaptive Contention Window. Journal of Computer and Communications. 3(1). 1–14. 4 indexed citations

18.

Chang, She-I, David C. Yen, Celeste See-Pui Ng, & Wei-Ting Chang. (2012). An analysis of IT/IS outsourcing provider selection for small- and medium-sized enterprises in Taiwan. Information & Management. 49(5). 199–209. 53 indexed citations

19.

Chien, Wu‐Chien, Ching‐Huang Lai, Chi‐Hsiang Chung, Lu Pai, & Wei-Ting Chang. (2012). A Nation-Wide Evidence-Based Data Analysis of Repeated Suicide Attempts. Crisis. 34(1). 22–31. 6 indexed citations

20.

Chow, L. P., et al.. (1979). Feasibility of the randomized response technique in rural Ethiopia.. American Journal of Public Health. 69(3). 273–276. 8 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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