Wei Hu
- Artificial Intelligence top 0.5%
- Management Science and Operations Research top 0.5%
- Information Systems top 1%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Topics
- Topic Modeling (32 papers)Data Quality and Management (32 papers)Advanced Graph Neural Networks (31 papers)
- Journals
- Advanced MaterialsAngewandte Chemie International EditionSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Hu
98 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 2.0k
- Management Science and Operations Research 855
- Information Systems 600
- Molecular Biology 337
- Computer Vision and Pattern Recognition 192
Countries citing papers authored by Wei Hu
This map shows the geographic impact of Wei Hu'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 Wei Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Hu more than expected).
Fields of papers citing papers by Wei Hu
This network shows the impact of papers produced by Wei Hu. 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 Wei Hu. The network helps show where Wei Hu may publish in the future.
Co-authorship network of co-authors of Wei Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Hu. A scholar is included among the top collaborators of Wei Hu 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 Wei Hu. Wei Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 43 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | 14 | |
| 11 | 46 | |
| 12 | 78 | |
| 13 | Provable Benefits of Representation Learning in Linear Bandits. | 0 |
| 14 | Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets | 5 |
| 15 | 28 | |
| 16 | 3 | |
| 17 | An Analysis of the t-SNE Algorithm for Data Visualization | 5 |
| 18 | njuLink: results for instance matching at OAEI 2017. | 1 |
| 19 | 11 | |
| 20 | 3 |
About Wei Hu
Wei Hu is a scholar working on Management Science and Operations Research, Artificial Intelligence and Information Systems, having authored 109 papers that have together received 2.4k indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Data Quality and Management (32 papers) and Advanced Graph Neural Networks (31 papers). The work is most often cited by research in Management Science and Operations Research (855 citations), Artificial Intelligence (2.0k citations) and Information Systems (600 citations). Wei Hu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuzhong Qu, Zequn Sun, Qinghe Zhang, Gong Cheng, Muhao Chen, Chengming Wang, Lingbing Guo, Jian S. Dai, Farahnaz Akrami and Chengkai Li. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.
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.