Haiyang Jia
- Molecular Biology
- Artificial Intelligence
- Cancer Research
- Computer Science Applications top 10%
- Information Systems
- Co-authors
- Weijia RanDayou LiuMinhong WangWei WangAndré WildbergRizi AiYun ZhuStephen J.H. Yang
- Topics
- Bayesian Modeling and Causal Inference (6 papers)Data Management and Algorithms (3 papers)Constraint Satisfaction and Optimization (2 papers)
- Journals
- BioinformaticsBiochemical and Biophysical Research CommunicationsExpert Systems with Applications
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Haiyang Jia
23 papers receiving 259 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 101
- Artificial Intelligence 53
- Cancer Research 42
- Computer Science Applications 33
- Information Systems 32
Countries citing papers authored by Haiyang Jia
This map shows the geographic impact of Haiyang Jia'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 Haiyang Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyang Jia more than expected).
Fields of papers citing papers by Haiyang Jia
This network shows the impact of papers produced by Haiyang Jia. 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 Haiyang Jia. The network helps show where Haiyang Jia may publish in the future.
Co-authorship network of co-authors of Haiyang Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Haiyang Jia. A scholar is included among the top collaborators of Haiyang Jia 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 Haiyang Jia. Haiyang Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 19 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 70 | |
| 9 | 12 | |
| 10 | 17 | |
| 11 | 8 | |
| 12 | Composing Cardinal Direction Relations Based on Interval Algebra. | 3 |
| 13 | 13 | |
| 14 | 1 | |
| 15 | 51 | |
| 16 | 22 | |
| 17 | Ontology-Based Intelligent Agents in Workplace eLearning | 2 |
| 18 | Ontology and key performance indicator based workplace E-learning environment | 1 |
| 19 | 1 | |
| 20 | 4 |
About Haiyang Jia
Haiyang Jia is a scholar working on Artificial Intelligence, Signal Processing and Energy Engineering and Power Technology, having authored 24 papers that have together received 268 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (6 papers), Data Management and Algorithms (3 papers) and Constraint Satisfaction and Optimization (2 papers). The work is most often cited by research in Computer Science Applications (33 citations), Cancer Research (42 citations) and Information Systems and Management (16 citations). Haiyang Jia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weijia Ran, Dayou Liu, Minhong Wang, Wei Wang, André Wildberg, Rizi Ai, Yun Zhu, Stephen J.H. Yang, Lina Zheng and Nan Li. Their work appears in journals such as Bioinformatics, Biochemical and Biophysical Research Communications and Expert Systems with Applications.
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.