Jieming Mao
- Marketing top 10%
- Consumer Market Behavior and Pricing 7
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- Auction Theory and Applications 13
- Game Theory and Applications 3
- Signal Processing top 10%
- Digital Filter Design and Implementation 8
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- Image and Signal Denoising Methods 8
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- Optimization and Search Problems 4
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- Digital Platforms and Economics 4
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- Complexity and Algorithms in Graphs 4
- Co-authors
- Vahab MirrokniSong ZuoS. C. ChanK.L. HoSantiago BalseiroMark BravermanS. Matthew WeinbergRenato Paes Leme
- Journals
- IEEE Signal Processing Letters (3 papers)ACM Transactions on Algorithms (1 paper)Theoretical Computer Science (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Jieming Mao
28 papers receiving 177 citations
Peers
Comparison fields: 5 of 32
- Marketing 74
- Management Science and Operations Research 99
- Signal Processing 50
- Computer Science Applications 11
- Computer Vision and Pattern Recognition 41
Countries citing papers authored by Jieming Mao
This map shows the geographic impact of Jieming Mao'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 Jieming Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jieming Mao more than expected).
Fields of papers citing papers by Jieming Mao
This network shows the impact of papers produced by Jieming Mao. 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 Jieming Mao. The network helps show where Jieming Mao may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Jieming Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 30 | |
| 7 | Pan-Private Uniformity Testing | 2020 | 1 |
| 8 | Smoothly Bounding User Contributions in Differential Privacy | 2020 | 2 |
| 9 | 2019 | 6 | |
| 10 | Incentivizing Exploration with Unbiased Histories | 2018 | 3 |
| 11 | Contextual Pricing for Lipschitz Buyers | 2018 | 14 |
| 12 | 2017 | 6 | |
| 13 | 2016 | 4 | |
| 14 | 2016 | 12 | |
| 15 | 2012 | 1 | |
| 16 | 2003 | 0 | |
| 17 | 2002 | 3 | |
| 18 | 2001 | 1 | |
| 19 | 2000 | 16 | |
| 20 | 2000 | 17 |
About Jieming Mao
Jieming Mao is a scholar working on Management Science and Operations Research, Signal Processing and Marketing, having authored 31 papers that have together received 182 indexed citations. Recurring topics across this work include Auction Theory and Applications (13 papers), Image and Signal Denoising Methods (8 papers), Digital Filter Design and Implementation (8 papers), Consumer Market Behavior and Pricing (7 papers), Optimization and Search Problems (4 papers), Digital Platforms and Economics (4 papers), Complexity and Algorithms in Graphs (4 papers) and Game Theory and Applications (3 papers). The work is most often cited by research in Marketing (74 citations), Management Science and Operations Research (99 citations) and Signal Processing (50 citations). Jieming Mao has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Vahab Mirrokni, Song Zuo, S. C. Chan, K.L. Ho, Santiago Balseiro, Mark Braverman, S. Matthew Weinberg, Renato Paes Leme, Wei Liu and Nicole Immorlica. Their work appears in journals such as IEEE Signal Processing Letters, ACM Transactions on Algorithms, Theoretical Computer Science, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.
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.