Jieming Mao

556 total citations
31 papers, 182 citations indexed

About

Jieming Mao is a scholar working on Management Science and Operations Research, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jieming Mao has authored 31 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 10 papers in Signal Processing and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jieming Mao's work include Auction Theory and Applications (13 papers), Image and Signal Denoising Methods (8 papers) and Digital Filter Design and Implementation (8 papers). Jieming Mao is often cited by papers focused on Auction Theory and Applications (13 papers), Image and Signal Denoising Methods (8 papers) and Digital Filter Design and Implementation (8 papers). Jieming Mao collaborates with scholars based in United States, Hong Kong and China. Jieming Mao's co-authors include Vahab Mirrokni, Song Zuo, S. C. Chan, K.L. Ho, Santiago Balseiro, Mark Braverman, Renato Paes Leme, S. Matthew Weinberg, Wei Liu and Nicole Immorlica and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Signal Processing Letters.

In The Last Decade

Jieming Mao

28 papers receiving 177 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jieming Mao United States	8	99	74	50	41	29	31	182
Alnur Ali United States	7	51 0.5×	13 0.2×	22 0.4×	14 0.3×	105 3.6×	15	188
Kareem Amin United States	9	136 1.4×	55 0.7×	19 0.4×	7 0.2×	126 4.3×	21	262
Diane Hu United States	8	57 0.6×	19 0.3×	27 0.5×	63 1.5×	164 5.7×	16	286
Katerina Potika United States	10	30 0.3×	5 0.1×	35 0.7×	30 0.7×	73 2.5×	41	211
Adam Sah United States	6	52 0.5×	7 0.1×	68 1.4×	14 0.3×	70 2.4×	12	398
Cosimo Palmisano Italy	5	45 0.5×	40 0.5×	62 1.2×	92 2.2×	77 2.7×	5	282
Flavian Vasile United States	8	83 0.8×	28 0.4×	26 0.5×	57 1.4×	192 6.6×	20	290
Jessica Rosati Italy	6	56 0.6×	21 0.3×	13 0.3×	27 0.7×	120 4.1×	13	216
Yu-Chiang Li Taiwan	9	17 0.2×	17 0.2×	97 1.9×	132 3.2×	184 6.3×	15	424
M.K. Reiter United States	9	80 0.8×	12 0.2×	23 0.5×	16 0.4×	288 9.9×	10	464

Countries citing papers authored by Jieming Mao

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jieming Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Jieming Mao. A scholar is included among the top collaborators of Jieming Mao 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 Jieming Mao. Jieming Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Deng, Yuan, et al.. (2024). Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study. 256–266.

Deng, Yuan, et al.. (2024). Efficiency of the Generalized Second-Price Auction for Value Maximizers. 46–56. 1 indexed citations

Mao, Jieming, et al.. (2023). Autobidding Auctions in the Presence of User Costs. 3428–3435. 4 indexed citations

Balseiro, Santiago, et al.. (2023). Optimal Mechanisms for a Value Maximizer: The Futility of Screening Targets. SSRN Electronic Journal. 1 indexed citations

Mao, Jieming, et al.. (2021). Towards Efficient Auctions in an Auto-bidding World. 3965–3973. 30 indexed citations

Balseiro, Santiago, et al.. (2021). The Landscape of Auto-Bidding Auctions: Value Versus Utility Maximization. SSRN Electronic Journal. 7 indexed citations

Amin, Kareem, Matthew Joseph, & Jieming Mao. (2020). Pan-Private Uniformity Testing. Conference on Learning Theory. 183–218. 1 indexed citations

Epasto, Alessandro, et al.. (2020). Smoothly Bounding User Contributions in Differential Privacy. Neural Information Processing Systems. 33. 13999–14010. 2 indexed citations

Immorlica, Nicole, Jieming Mao, Aleksandrs Slivkins, & Zhiwei Steven Wu. (2019). Bayesian Exploration with Heterogeneous Agents. 751–761. 6 indexed citations

10.

Mao, Jieming, et al.. (2018). Contextual Pricing for Lipschitz Buyers. Neural Information Processing Systems. 31. 5643–5651. 14 indexed citations

11.

Immorlica, Nicole, Jieming Mao, Aleksandrs Slivkins, & Zhiwei Steven Wu. (2018). Incentivizing Exploration with Unbiased Histories. arXiv (Cornell University). 3 indexed citations

12.

Chen, Xi, et al.. (2018). Optimal Instance Adaptive Algorithm for the Top-$K$ Ranking Problem. IEEE Transactions on Information Theory. 64(9). 6139–6160. 3 indexed citations

13.

Chen, Xi, et al.. (2017). Competitive analysis of the top-K ranking problem. arXiv (Cornell University). 1245–1264. 6 indexed citations

14.

Braverman, Mark, Jieming Mao, & S. Matthew Weinberg. (2016). Interpolating between truthful and non-truthful mechanisms for combinatorial auctions. arXiv (Cornell University). 1444–1457. 4 indexed citations

15.

Braverman, Mark, Jieming Mao, & S. Matthew Weinberg. (2016). Parallel algorithms for select and partition with noisy comparisons. 851–862. 12 indexed citations

16.

Mao, Jieming, et al.. (2012). On the sensitivity complexity of bipartite graph properties. Theoretical Computer Science. 468. 83–91. 1 indexed citations

17.

Mao, Jieming, S. C. Chan, & K.L. Ho. (2003). Theory and design of causal stable IIR PR cosine-modulated filter banks. The HKU Scholars Hub (University of Hong Kong). 3. 427–430.

18.

Mao, Jieming, Weigang Lu, S. C. Chan, & A. Antoniou. (2002). Design and multiplierless implementation of two-channel biorthogonal IIR filter banks with low system delay. The HKU Scholars Hub (University of Hong Kong). 2. 465–468. 3 indexed citations

19.

Mao, Jieming, S. C. Chan, & K.L. Ho. (2001). An efficient method for designing two-channel PR FIR filter banks with low system delay. IEEE Signal Processing Letters. 8(1). 16–19. 1 indexed citations

20.

Mao, Jieming, S. C. Chan, & K.L. Ho. (2000). Theory and design of a class of M-channel IIR cosine-modulated filter banks. IEEE Signal Processing Letters. 7(2). 38–40. 16 indexed citations

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.

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