Zongheng Yang

6.0k total citations · 2 hit papers
10 papers, 2.1k citations indexed

About

Zongheng Yang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Zongheng Yang has authored 10 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Zongheng Yang's work include Cloud Computing and Resource Management (3 papers), Advanced Database Systems and Queries (3 papers) and Natural Language Processing Techniques (3 papers). Zongheng Yang is often cited by papers focused on Cloud Computing and Resource Management (3 papers), Advanced Database Systems and Queries (3 papers) and Natural Language Processing Techniques (3 papers). Zongheng Yang collaborates with scholars based in United States and China. Zongheng Yang's co-authors include Navdeep Jaitly, Rif A. Saurous, Ron J. Weiss, Yonghui Wu, Yuxuan Wang, Ruoming Pang, Yu Zhang, Zhifeng Chen, Jonathan Shen and Mike Schuster and has published in prestigious journals such as Proceedings of the VLDB Endowment, Networked Systems Design and Implementation and arXiv (Cornell University).

In The Last Decade

Zongheng Yang

10 papers receiving 1.9k citations

Hit Papers

Natural TTS Synthesis by Conditioning Wavenet on MEL Spec... 2016 2026 2019 2022 2018 2016 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zongheng Yang United States 8 1.5k 1.0k 392 309 274 10 2.1k
Leonardo Neumeyer United States 16 1.4k 0.9× 993 1.0× 473 1.2× 224 0.7× 413 1.5× 36 1.9k
Renato De Mori Canada 24 2.4k 1.6× 1000 1.0× 108 0.3× 301 1.0× 471 1.7× 185 3.0k
Jianzong Wang China 15 702 0.5× 325 0.3× 128 0.3× 143 0.5× 184 0.7× 156 1000
Dat Tran Australia 17 474 0.3× 341 0.3× 121 0.3× 288 0.9× 276 1.0× 153 1.2k
Pedro J. Moreno United States 28 2.1k 1.4× 1.4k 1.3× 49 0.1× 955 3.1× 103 0.4× 78 3.0k
David S. Pallett United States 14 1.1k 0.7× 798 0.8× 68 0.2× 211 0.7× 97 0.4× 34 1.6k
Stanley F. Chen United States 15 2.2k 1.5× 295 0.3× 57 0.1× 252 0.8× 236 0.9× 22 2.5k
Rui Xia China 17 1.2k 0.8× 195 0.2× 148 0.4× 214 0.7× 304 1.1× 52 1.6k
Yu Wu China 24 2.7k 1.8× 1.0k 1.0× 26 0.1× 366 1.2× 162 0.6× 55 3.0k
Binghui Wang United States 19 922 0.6× 221 0.2× 321 0.8× 206 0.7× 314 1.1× 68 1.4k

Countries citing papers authored by Zongheng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zongheng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongheng Yang

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

All Works

10 of 10 papers shown
1.
Wu, Zhanghao, et al.. (2025). SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. 159–175. 1 indexed citations
2.
Sun, Shuo, et al.. (2023). Multilingual Pre-training Model-Assisted Contrastive Learning Neural Machine Translation. abs 1510 2675. 1–7. 1 indexed citations
3.
Yang, Zongheng, et al.. (2022). Balsa: Learning a Query Optimizer Without Expert Demonstrations. Proceedings of the 2022 International Conference on Management of Data. 931–944. 38 indexed citations
4.
Yang, Zongheng, et al.. (2020). NeuroCard. Proceedings of the VLDB Endowment. 14(1). 61–73. 88 indexed citations
5.
Yang, Zongheng, Eric Liang, Chenggang Wu, et al.. (2019). Deep unsupervised cardinality estimation. Proceedings of the VLDB Endowment. 13(3). 279–292. 124 indexed citations
6.
Shen, Jonathan, Ruoming Pang, Ron J. Weiss, et al.. (2018). Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions. 4779–4783. 1414 indexed citations breakdown →
7.
Wang, Yuxuan, RJ Skerry-Ryan, Daisy Stanton, et al.. (2017). Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model.. arXiv (Cornell University). 86 indexed citations
8.
Khandelwal, Anurag, et al.. (2017). ZipG. 1149–1164. 27 indexed citations
9.
Venkataraman, Shivaram, Zongheng Yang, Michael J. Franklin, Benjamin Recht, & Ion Stoica. (2016). Ernest: efficient performance prediction for large-scale advanced analytics. Networked Systems Design and Implementation. 363–378. 230 indexed citations breakdown →
10.
Venkataraman, Shivaram, Zongheng Yang, Eric Liang, et al.. (2016). SparkR. 1099–1104. 43 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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