Yuanming Hu

6.1k total citations · 1 hit paper
83 papers, 4.4k citations indexed

About

Yuanming Hu is a scholar working on Computer Networks and Communications, Information Systems and Molecular Biology. According to data from OpenAlex, Yuanming Hu has authored 83 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 17 papers in Information Systems and 15 papers in Molecular Biology. Recurrent topics in Yuanming Hu's work include Cloud Computing and Resource Management (13 papers), Software-Defined Networks and 5G (8 papers) and Computer Graphics and Visualization Techniques (7 papers). Yuanming Hu is often cited by papers focused on Cloud Computing and Resource Management (13 papers), Software-Defined Networks and 5G (8 papers) and Computer Graphics and Visualization Techniques (7 papers). Yuanming Hu collaborates with scholars based in United States, China and Mexico. Yuanming Hu's co-authors include Gabriel Núñez, Naohiro Inohara, Ramana Rao Kompella, Shu Chen, Takeyoshi Koseki, Mary Benedict, Dayang Wu, Di Xie, Baoyuan Wang and Jesús Merino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Yuanming Hu

72 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nod1, an Apaf-1-like Activator of Caspase-9 and Nuclear Factor-κB

1999 606 citations Naohiro Inohara, Takeyoshi Koseki et al. Journal of Biological Chemistry profile →

Peers

Yuanming Hu

MB

IMMUN

CNC

IS

CVPR

Thomas Seidl Germany

Stefano Lonardi United States

Volker Röth Switzerland

Guo‐Ping Jiang China

Jon Timmis United Kingdom

Thomas L. Casavant United States

Jong Kim South Korea

Shaoli Liu China

V. Mani India

Cheng‐Wen Wu Taiwan

Thomas Seidl Germany

Yuanming Hu

593 ×0.4

MB

699 ×0.7

IMMUN

679 ×0.7

CNC

712 ×1.1

IS

1.6k ×3.4

CVPR

Citations per year, relative to Yuanming Hu Yuanming Hu (= 1×) peers Thomas Seidl

Countries citing papers authored by Yuanming Hu

Since Specialization

Citations

This map shows the geographic impact of Yuanming 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 Yuanming Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanming Hu more than expected).

Fields of papers citing papers by Yuanming Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuanming 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 Yuanming Hu. The network helps show where Yuanming Hu may publish in the future.

Co-authorship network of co-authors of Yuanming Hu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhang, Xinwei, et al.. (2026). Optimized Lipid Nanoparticles for Co‐Delivery of mRNA and siRNA Therapeutics in Refractory Liver Cancer. Advanced Materials. 38(11). e19473–e19473.

2.

Wei, Tingcha, et al.. (2026). TEMP: A Memory Efficient Physical-Aware Tensor Partition-Mapping Framework on Wafer-Scale Chips. 1–18.

3.

Wang, Hongbin, et al.. (2026). WATOS: Efficient LLM Training Strategies and Architecture Co-Exploration for Wafer-Scale Chip. 1–19.

4.

Hu, Yuanming, et al.. (2024). Hybrid GRU-CNN bilinear parameters initialization for quantum approximate optimization algorithm. Physica Scripta. 99(8). 85105–85105. 2 indexed citations

5.

Hu, Yuanming, et al.. (2023). The Power of Asynchronous SLAM in Multi-User AR over Cellular Networks: A Measurement Study. 34–40. 1 indexed citations

6.

Hu, Yuanming, et al.. (2022). Do we need sophisticated system design for edge-assisted augmented reality?. 7–12. 6 indexed citations

7.

Drolia, Utsav, et al.. (2022). AQuA: A New Image Quality Metric for Optimizing Video Analytics Systems. ACM Transactions on Embedded Computing Systems. 22(4). 1–29. 1 indexed citations

8.

Hu, Yuanming, et al.. (2020). AsyncTaichi: Whole-Program Optimizations for Megakernel Sparse Computation and Differentiable Programming.. arXiv (Cornell University). 1 indexed citations

9.

Hu, Yuanming, et al.. (2019). Your coflow has many flows: sampling them for fun and speed. USENIX Annual Technical Conference. 833–847. 6 indexed citations

10.

Spielberg, Andrew, Allan Zhao, Yuanming Hu, et al.. (2019). Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations. DSpace@MIT (Massachusetts Institute of Technology). 32. 8282–8292. 23 indexed citations

11.

Gandhi, Rohan, et al.. (2016). Graviton: twisting space and time to speed up coflows. IEEE International Conference on Cloud Computing Technology and Science. 52–57. 5 indexed citations

12.

Dixit, Advait, Pawan Prakash, Yuanming Hu, & Ramana Rao Kompella. (2013). On the impact of packet spraying in data center networks. 2130–2138. 214 indexed citations

13.

Gandhi, Rohan, Di Xie, & Yuanming Hu. (2013). PIKACHU: how to rebalance load in optimizing mapreduce on heterogeneous clusters. USENIX Annual Technical Conference. 61–66. 28 indexed citations

14.

Prakash, Pawan, Advait Dixit, Yuanming Hu, & Ramana Rao Kompella. (2012). The TCP outcast problem: exposing unfairness in data center networks. Purdue e-Pubs (Purdue University System). 30–30. 57 indexed citations

15.

Holland, Sacha J., Alison Pan, Christian Franci, et al.. (2010). R428, a Selective Small Molecule Inhibitor of Axl Kinase, Blocks Tumor Spread and Prolongs Survival in Models of Metastatic Breast Cancer. Cancer Research. 70(4). 1544–1554. 429 indexed citations

16.

Zhang, Rongmei & Yuanming Hu. (2007). Assisted Peer-to-Peer Search with Partial Indexing. IEEE Transactions on Parallel and Distributed Systems. 18(8). 1146–1158. 46 indexed citations

17.

Inohara, Naohiro, Tania Gourley, Roberto Carrió, et al.. (1998). Diva, a Bcl-2 Homologue that Binds Directly to Apaf-1 and Induces BH3-independent Cell Death. Journal of Biological Chemistry. 273(49). 32479–32486. 143 indexed citations

18.

Hu, Yuanming, Li-Yun Ding, David M. Spencer, & Gabriel Núñez. (1998). WD-40 Repeat Region Regulates Apaf-1 Self-association and Procaspase-9 Activation. Journal of Biological Chemistry. 273(50). 33489–33494. 208 indexed citations

19.

Wang, Dake, Yuanming Hu, Zheng Feng, Kemin Zhou, & Gunter B. Kohlhaw. (1997). Evidence That Intramolecular Interactions Are Involved in Masking the Activation Domain of Transcriptional Activator Leu3p. Journal of Biological Chemistry. 272(31). 19383–19392. 34 indexed citations

20.

Hu, Yuanming & Gunter B. Kohlhaw. (1995). Additive Activation of Yeast LEU4 Transcription by Multiple cis Elements. Journal of Biological Chemistry. 270(10). 5270–5275. 11 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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