Difan Deng
Impact in
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
Papers in
-
- Machine Learning and Data Classification 2
- Metaheuristic Optimization Algorithms Research 1
-
- Advanced Multi-Objective Optimization Algorithms 1
- Co-authors
- Bernd Bischl (2 shared papers)Marius Lindauer (2 shared papers)Tobias Pielok (1 shared paper)Theresa Ullmann (1 shared paper)Marc Becker (1 shared paper)Anne‐Laure Boulesteix (1 shared paper)Martin Binder (1 shared paper)Michel Lang (1 shared paper)
- Journals
- Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- Germany
In The Last Decade
Difan Deng
2 papers receiving 478 citations
Difan Deng's Hit Papers
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 144
- Health Informatics 4
- Environmental Engineering 42
- Health Information Management 11
- Management Science and Operations Research 31
Countries citing papers authored by Difan Deng
This map shows the geographic impact of Difan Deng'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 Difan Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Difan Deng more than expected).
Fields of papers citing papers by Difan Deng
This network shows the impact of papers produced by Difan Deng. 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 Difan Deng. The network helps show where Difan Deng may publish in the future.
Co-authors
The 12 scholars most cited alongside Difan Deng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges Hit paper breakdown → | 2023 | 479 |
| 2 | 2023 | 8 |
About Difan Deng
Difan Deng is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 487 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (2 papers), Advanced Multi-Objective Optimization Algorithms (1 paper), Metaheuristic Optimization Algorithms Research (1 paper), Forecasting Techniques and Applications (1 paper) and Stock Market Forecasting Methods (1 paper). The work is most often cited by research in Artificial Intelligence (144 citations), Health Informatics (4 citations), Environmental Engineering (42 citations), Health Information Management (11 citations) and Management Science and Operations Research (31 citations). Difan Deng has collaborated with scholars based in Germany. Frequent co-authors include Bernd Bischl, Marius Lindauer, Tobias Pielok, Theresa Ullmann, Marc Becker, Anne‐Laure Boulesteix, Martin Binder, Michel Lang, Stefan Coors and Jakob Richter. Their work appears in journals such as Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery and Lecture notes in computer science.
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.