Ernie Chang

1.1k total citations
24 papers, 171 citations indexed

About

Ernie Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ernie Chang has authored 24 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Ernie Chang's work include Natural Language Processing Techniques (12 papers), Topic Modeling (11 papers) and Music and Audio Processing (5 papers). Ernie Chang is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (11 papers) and Music and Audio Processing (5 papers). Ernie Chang collaborates with scholars based in Germany, United States and South Korea. Ernie Chang's co-authors include Vera Demberg, Xiaoyu Shen, Vikas Chandra, Hui Su, Alex Marin, Yangyang Shi, Zechun Liu, Raghuraman Krishnamoorthi, Pierre Stock and Yashar Mehdad and has published in prestigious journals such as SHILAP Revista de lepidopterología and INFM-OAR (INFN Catania).

In The Last Decade

Ernie Chang

20 papers receiving 158 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ernie Chang Germany 9 133 42 11 9 6 24 171
Chinnadhurai Sankar United States 6 129 1.0× 30 0.7× 6 0.5× 10 1.1× 6 1.0× 9 155
Bo-Hsiang Tseng United Kingdom 6 89 0.7× 18 0.4× 8 0.7× 8 0.9× 5 0.8× 16 102
Mengzhou Xia United States 7 137 1.0× 58 1.4× 12 1.1× 9 1.0× 5 0.8× 13 164
Yaowei Zheng China 5 125 0.9× 26 0.6× 20 1.8× 6 0.7× 8 1.3× 7 160
Yongjing Yin China 9 206 1.5× 86 2.0× 15 1.4× 3 0.3× 3 0.5× 25 226
Roberta Răileanu Israel 4 76 0.6× 20 0.5× 6 0.5× 5 0.6× 4 0.7× 11 114
Christos Louizos Netherlands 5 119 0.9× 51 1.2× 12 1.1× 3 0.3× 8 1.3× 12 145
Aditya Bhargava Canada 7 166 1.2× 40 1.0× 11 1.0× 6 0.7× 10 1.7× 15 187
Hongying Zan China 6 122 0.9× 15 0.4× 17 1.5× 3 0.3× 3 0.5× 50 169
Marek Wydmuch Poland 4 71 0.5× 15 0.4× 9 0.8× 5 0.6× 8 1.3× 6 81

Countries citing papers authored by Ernie Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ernie Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ernie Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ernie Chang. A scholar is included among the top collaborators of Ernie 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 Ernie Chang. Ernie Chang 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.
2.
Liu, Zechun, Barlas Oğuz, Ernie Chang, et al.. (2024). LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. 467–484. 46 indexed citations
3.
Santoso, Yudi, et al.. (2024). Analyzing Patterns of Service Utilization Using Graph Topology to Understand the Dynamic of the Engagement of Patients with Complex Problems with Health Services. SHILAP Revista de lepidopterología. 4(2). 1071–1084. 2 indexed citations
4.
Mei, Xinhao, et al.. (2024). Foleygen: Visually-Guided Audio Generation. 1–6. 4 indexed citations
5.
6.
Chang, Ernie, Forrest Iandola, Zechun Liu, et al.. (2024). On the Open Prompt Challenge in Conditional Audio Generation. 5315–5319.
7.
Chang, Ernie, et al.. (2024). Stack-and-Delay: A New Codebook Pattern for Music Generation. 34. 796–800. 1 indexed citations
8.
Li, Yang, Liangzhen Lai, Yuan Shangguan, et al.. (2024). Folding Attention: Memory and Power Optimization for On-Device Transformer-Based Streaming Speech Recognition. 11901–11905. 1 indexed citations
9.
10.
Chang, Ernie, et al.. (2024). In-Context Prompt Editing for Conditional Audio Generation. 5320–5324. 1 indexed citations
11.
Chang, Ernie, et al.. (2023). Revisiting Sample Size Determination in Natural Language Understanding. 6716–6724. 1 indexed citations
12.
Chang, Ernie, et al.. (2023). Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin. 3954–3958.
13.
Chang, Ernie, et al.. (2021). On Training Instance Selection for Few-Shot Neural Text Generation. 8–13. 11 indexed citations
14.
Chang, Ernie, et al.. (2021). Time-Aware Ancient Chinese Text Translation and Inference. 1–6. 8 indexed citations
15.
16.
Krüger, Antonio, Stefan Borgwardt, Ernie Chang, et al.. (2021). Why Do I Have to Take Over Control? Evaluating Safe Handovers with Advance Notice and Explanations in HAD. 308–317. 5 indexed citations
17.
Chang, Ernie, et al.. (2020). DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool. 12–17. 8 indexed citations
18.
19.
Souza, José G. C. de, Prashant Mathur, Ernie Chang, et al.. (2018). Generating E-Commerce Product Titles and Predicting their Quality. INFM-OAR (INFN Catania). 233–243. 11 indexed citations
20.
Suryanarayanan, Siddharth, et al.. (2011). An evolutionary algorithm and acceleration approach for topological design of distributed resource islands. 1–8. 3 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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