Ing-Jr Ding

503 citations
41 papers · 381 · h-index 13

Impact in

Papers in

    • Speech and Audio Processing 19
    • Music and Audio Processing 12
    • Time Series Analysis and Forecasting 3
    • Speech Recognition and Synthesis 14
    • Speech and dialogue systems 3

Ing-Jr Ding

38 papers receiving 369 citations

Peers

Ing-Jr Ding
Comparison fields: 5 of 71
  • Human-Computer Interaction 170
  • Signal Processing 92
  • Computer Vision and Pattern Recognition 131
  • Control and Systems Engineering 74
  • Artificial Intelligence 94
Replace Hosub Yoon with:
Hosub Yoon South Korea
Xiangdong Li China
Zhanpeng Shao China
Nam Le Switzerland
Ho‐Sub Yoon South Korea
Yen-Lun Chen China
Nihan Kahraman Türkiye
Holger Junker Switzerland
Youngwoo Yoon South Korea
Ing-Jr Ding relative to Hosub Yoon South Korea Hosub Yoon's profile →
Citations per field
00.5×2.8×
Hosub Yoon · 1×
Citations per year

Countries citing papers authored by Ing-Jr Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ing-Jr Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ing-Jr Ding. 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 Ing-Jr Ding. The network helps show where Ing-Jr Ding may publish in the future.

Co-authors

The 6 scholars most cited alongside Ing-Jr Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ing-Jr Ding Line = papers co-authored together Ing-Jr Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201634
2 201532
3 201831
4 201522
5 202221
6 202218
7 202118
8 201518
9 201517
10 201716
11 201416
12 201314
13 201313
14
A Method to Integrate GMM, SVM and DTW for Speaker Recognition
201412
15 201412
16 201711
17 20229
18 20138
19 20187
20 20166

About Ing-Jr Ding

Ing-Jr Ding is a scholar working on Signal Processing, Artificial Intelligence, Human-Computer Interaction, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 41 papers that have together received 381 indexed citations. Recurring topics across this work include Speech and Audio Processing (19 papers), Hand Gesture Recognition Systems (17 papers), Speech Recognition and Synthesis (14 papers), Music and Audio Processing (12 papers), Human Pose and Action Recognition (10 papers), Gait Recognition and Analysis (4 papers), Speech and dialogue systems (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Human-Computer Interaction (170 citations), Signal Processing (92 citations), Computer Vision and Pattern Recognition (131 citations), Control and Systems Engineering (74 citations) and Artificial Intelligence (94 citations). Ing-Jr Ding has collaborated with scholars based in Taiwan and Argentina. Frequent co-authors include Jiayi Shi, Chih-Ta Yen, Junlin Su, Jianting Liu, Yau‐Tarng Juang and Che‐Wei Chang. Their work appears in journals such as Multimedia Tools and Applications, Computers & Electrical Engineering, Journal of Imaging Science and Technology, Microsystem Technologies and Journal of Intelligent & Fuzzy Systems.

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.

Explore authors with similar magnitude of impact