Minjia Zhang
About
In The Last Decade
Minjia Zhang
94 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 154
- Molecular Biology 751
- Cellular and Molecular Neuroscience 456
- Computer Networks and Communications 379
- Hardware and Architecture 276
- Artificial Intelligence 270
Countries citing papers authored by Minjia Zhang
This map shows the geographic impact of Minjia Zhang'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 Minjia Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minjia Zhang more than expected).
Fields of papers citing papers by Minjia Zhang
This network shows the impact of papers produced by Minjia Zhang. 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 Minjia Zhang. The network helps show where Minjia Zhang may publish in the future.
Co-authorship network of co-authors of Minjia Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Minjia Zhang. A scholar is included among the top collaborators of Minjia Zhang 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 Minjia Zhang. Minjia Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation | 4 |
| 12 | HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory. | 17 |
| 13 | AdaTune: Adaptive Tensor Program Compilation Made Efficient | 9 |
| 14 | Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping | 1 |
| 15 | 26 | |
| 16 | 28 | |
| 17 | Learning Intrinsic Sparse Structures within Long Short-Term Memory | 14 |
| 18 | 12 | |
| 19 | 108 | |
| 20 | 30 |
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.