D. Yang
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
- Information Systems top 1%
- Data Mining Algorithms and Applications
Papers in
-
- Data Mining Algorithms and Applications 21
- Web Data Mining and Analysis 12
- Co-authors
- Toby J. Teorey (1 shared paper)James P. Fry (1 shared paper)Shiwei Tang (38 shared papers)Tengjiao Wang (31 shared papers)Jian Pei (4 shared papers)Hongjun Lü (2 shared papers)Shojiro Nishio (2 shared papers)Guangjun Zhang (4 shared papers)
- Journals
- Materials Science and Engineering A (5 papers)Journal of Manufacturing Processes (4 papers)Lecture notes in computer science (36 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)Virtual and Physical Prototyping (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
D. Yang
94 papers receiving 2.0k citations
D. Yang's Hit Papers
Peers
Comparison fields: 5 of 108
- Signal Processing 500
- Information Systems 809
- Metals and Alloys 81
- Artificial Intelligence 1000
- Computer Networks and Communications 643
Countries citing papers authored by D. Yang
This map shows the geographic impact of D. Yang'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 D. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Yang more than expected).
Fields of papers citing papers by D. Yang
This network shows the impact of papers produced by D. Yang. 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 D. Yang. The network helps show where D. Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A logical design methodology for relational databases using the extended entity-relationship model Hit paper breakdown → | 1986 | 576 |
| 2 | 2002 | 305 | |
| 3 | 2015 | 117 | |
| 4 | 2019 | 96 | |
| 5 | 2014 | 75 | |
| 6 | 2007 | 71 | |
| 7 | 2004 | 62 | |
| 8 | 2020 | 54 | |
| 9 | 2003 | 42 | |
| 10 | 2016 | 41 | |
| 11 | 2011 | 41 | |
| 12 | 2020 | 38 | |
| 13 | 2010 | 35 | |
| 14 | 2008 | 32 | |
| 15 | 2004 | 29 | |
| 16 | 2008 | 29 | |
| 17 | 2006 | 23 | |
| 18 | 2022 | 23 | |
| 19 | 2013 | 19 | |
| 20 | 2014 | 19 |
About D. Yang
D. Yang is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Mechanical Engineering, having authored 104 papers that have together received 2.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (25 papers), Data Mining Algorithms and Applications (21 papers), Advanced Database Systems and Queries (19 papers), Welding Techniques and Residual Stresses (16 papers), Additive Manufacturing Materials and Processes (15 papers), Rough Sets and Fuzzy Logic (15 papers), Web Data Mining and Analysis (12 papers) and Energy Efficient Wireless Sensor Networks (7 papers). The work is most often cited by research in Signal Processing (500 citations), Information Systems (809 citations), Metals and Alloys (81 citations), Artificial Intelligence (1000 citations) and Computer Networks and Communications (643 citations). D. Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Toby J. Teorey, James P. Fry, Shiwei Tang, Tengjiao Wang, Jian Pei, Hongjun Lü, Shojiro Nishio, Guangjun Zhang, Jiawei Han and Kehong Wang. Their work appears in journals such as Materials Science and Engineering A, Journal of Manufacturing Processes, Lecture notes in computer science, IEEE Transactions on Knowledge and Data Engineering and Virtual and Physical Prototyping.
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.