Haiwen Wang
- Education top 5%
- Artificial Intelligence top 10%
- Safety Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Paleontology top 10%
- Co-authors
- Miao YangBarbara MeansPeggy EstradaVanessa PetersViki M. YoungSharon J. LynchKe HuZhiqiang Wei
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (5 papers)Advanced Text Analysis Techniques (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Haiwen Wang
43 papers receiving 634 citations
Peers
Comparison fields: 5 of 120
- Education 189
- Artificial Intelligence 93
- Safety Research 79
- Computer Vision and Pattern Recognition 78
- Paleontology 77
Countries citing papers authored by Haiwen Wang
This map shows the geographic impact of Haiwen Wang'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 Haiwen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiwen Wang more than expected).
Fields of papers citing papers by Haiwen Wang
This network shows the impact of papers produced by Haiwen Wang. 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 Haiwen Wang. The network helps show where Haiwen Wang may publish in the future.
Co-authorship network of co-authors of Haiwen Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Haiwen Wang. A scholar is included among the top collaborators of Haiwen Wang 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 Haiwen Wang. Haiwen Wang 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 | 0 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 21 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 29 | |
| 9 | 8 | |
| 10 | 51 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | Impact Evaluation of National Writing Project Professional Development Program. | 1 |
| 14 | 11 | |
| 15 | Reclassifying and Not Reclassifying English Learners to Fluent English Proficient, Year 1 Findings: Factors Impeding and Facilitating Reclassification and Access to the Core. | 8 |
| 16 | Signal Processing in Liquid Level Detection with Acoustic Method Based on Spectral Subtraction | 0 |
| 17 | A Randomized Controlled Trial of Two Online Mathematics Curricula. | 4 |
| 18 | 11 | |
| 19 | Impact of Different Performance Assessment Cut Scores on Student Promotion. CSE Report 719. | 2 |
| 20 | Recommendations for Building a Valid Benchmark Assessment System: Interim Report to the Jackson Public Schools. CRESST Report 723. | 4 |
About Haiwen Wang
Haiwen Wang is a scholar working on Aging, General Agricultural and Biological Sciences and Safety Research, having authored 45 papers that have together received 671 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Paleontology (77 citations), Safety Research (79 citations) and Geochemistry and Petrology (43 citations). Haiwen Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Miao Yang, Barbara Means, Peggy Estrada, Vanessa Peters, Viki M. Young, Sharon J. Lynch, Ke Hu, Zhiqiang Wei, Xin Wei and Xinbing Wang. Their work appears in journals such as Scientific Reports, Earth-Science Reviews and Sensors.
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.