Changhe Yuan
- Artificial Intelligence top 5%
- Cognitive Neuroscience
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition
- Signal Processing
- Co-authors
- Brandon MaloneMarek J. DrużdżelTsai-Ching LuEric A. HansenTingting WuPatrick R. HofJin FanQiong Wu
- Topics
- Bayesian Modeling and Causal Inference (32 papers)Data Quality and Management (14 papers)Data Management and Algorithms (8 papers)
- Partner nations
- United StatesFinlandChina
In The Last Decade
Changhe Yuan
42 papers receiving 487 citations
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 274
- Cognitive Neuroscience 97
- Management Science and Operations Research 97
- Computer Vision and Pattern Recognition 56
- Signal Processing 41
Countries citing papers authored by Changhe Yuan
This map shows the geographic impact of Changhe Yuan'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 Changhe Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changhe Yuan more than expected).
Fields of papers citing papers by Changhe Yuan
This network shows the impact of papers produced by Changhe Yuan. 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 Changhe Yuan. The network helps show where Changhe Yuan may publish in the future.
Co-authorship network of co-authors of Changhe Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Changhe Yuan. A scholar is included among the top collaborators of Changhe Yuan 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 Changhe Yuan. Changhe Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Solving Multiple Inference by Minimizing Expected Loss. | 0 |
| 2 | Does Applying Deep Learning in Financial Sentiment Analysis Lead to Better Classification Performance | 6 |
| 3 | Variational Training for Large-Scale Noisy-OR Bayesian Networks. | 1 |
| 4 | 67 | |
| 5 | Solving M-Modes in Loopy Graphs Using Tree Decompositions | 2 |
| 6 | Solving M-modes using heuristic search | 4 |
| 7 | Finding optimal Bayesian network structures with constraints learned from data | 24 |
| 8 | 1 | |
| 9 | 3 | |
| 10 | Improving the scalability of optimal Bayesian network learning with external-memory frontier breadth-first branch and bound search | 17 |
| 11 | 8 | |
| 12 | Some properties of most relevant explanation | 3 |
| 13 | Efficient computation of jointree bounds for systematic MAP search | 14 |
| 14 | A general framework for generating multivariate explanations in Bayesian networks | 6 |
| 15 | Generalized evidence pre-propagated importance sampling for hybrid Bayesian networks | 3 |
| 16 | Importance Sampling for General Hybrid Bayesian Networks | 7 |
| 17 | Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks. | 11 |
| 18 | Hybrid Loopy Belief Propagation. | 8 |
| 19 | How Heavy Should the Tails Be | 5 |
| 20 | 26 |
About Changhe Yuan
Changhe Yuan is a scholar working on Management Science and Operations Research, Artificial Intelligence and Signal Processing, having authored 46 papers that have together received 508 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (32 papers), Data Quality and Management (14 papers) and Data Management and Algorithms (8 papers). The work is most often cited by research in Artificial Intelligence (274 citations), Management Science and Operations Research (97 citations) and Cognitive Neuroscience (97 citations). Changhe Yuan has collaborated with scholars based in United States, Finland and China. Frequent co-authors include Brandon Malone, Marek J. Drużdżel, Tsai-Ching Lu, Eric A. Hansen, Tingting Wu, Patrick R. Hof, Jin Fan, Qiong Wu, Alfredo Spagna and Yanhong Wu. Their work appears in journals such as NeuroImage, Cerebral Cortex and BMC Bioinformatics.
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.