Huanchen Zhang

486 total citations
12 papers, 310 citations indexed

About

Huanchen Zhang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Huanchen Zhang has authored 12 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 4 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Huanchen Zhang's work include Advanced Data Storage Technologies (8 papers), Caching and Content Delivery (4 papers) and Distributed systems and fault tolerance (3 papers). Huanchen Zhang is often cited by papers focused on Advanced Data Storage Technologies (8 papers), Caching and Content Delivery (4 papers) and Distributed systems and fault tolerance (3 papers). Huanchen Zhang collaborates with scholars based in United States, Germany and China. Huanchen Zhang's co-authors include Andrew Pavlo, David G. Andersen, Michael Kaminsky, Hyeontaek Lim, Viktor Leis, Kimberly Keeton, Rui Shen, Lin Ma, Ziqi Wang and Jiahong Shen and has published in prestigious journals such as Communications of the ACM, Proceedings of the VLDB Endowment and ACM SIGMOD Record.

In The Last Decade

Huanchen Zhang

11 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huanchen Zhang United States	7	266	104	91	76	70	12	310
Alexander van Renen Germany	9	242 0.9×	76 0.7×	133 1.5×	96 1.3×	74 1.1×	14	317
Yung Ryn Choe United States	7	156 0.6×	118 1.1×	68 0.7×	59 0.8×	96 1.4×	19	254
Berni Schiefer United States	7	305 1.1×	71 0.7×	127 1.4×	79 1.0×	100 1.4×	10	331
Florian Funke Germany	8	285 1.1×	57 0.5×	130 1.4×	64 0.8×	63 0.9×	18	306
Xuntao Cheng Singapore	9	261 1.0×	60 0.6×	145 1.6×	101 1.3×	28 0.4×	16	309
Alessandro Morari United States	10	130 0.5×	61 0.6×	180 2.0×	75 1.0×	77 1.1×	27	295
Claude Barthels Switzerland	7	210 0.8×	36 0.3×	133 1.5×	58 0.8×	25 0.4×	8	254
Tim Malkemus United States	6	286 1.1×	77 0.7×	117 1.3×	54 0.7×	119 1.7×	7	315
Jana Giceva Germany	12	321 1.2×	66 0.6×	180 2.0×	138 1.8×	50 0.7×	29	374
Mark L. McAuliffe United States	4	292 1.1×	60 0.6×	62 0.7×	65 0.9×	101 1.4×	7	310

Countries citing papers authored by Huanchen Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Huanchen Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huanchen Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Huanchen Zhang. A scholar is included among the top collaborators of Huanchen 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 Huanchen Zhang. Huanchen Zhang 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:

12 of 12 papers shown

1.

Zhang, Huanchen, et al.. (2024). UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis. 67200–67217.

2.

Wang, Ziwei, Yuhan Wu, Tong Yang, et al.. (2023). REncoder: A Space-Time Efficient Range Filter with Local Encoder. 2036–2049. 12 indexed citations

3.

Shen, Jiahong, et al.. (2023). An Empirical Evaluation of Columnar Storage Formats. Proceedings of the VLDB Endowment. 17(2). 148–161. 17 indexed citations

4.

Zhang, Huanchen, Li Yu, Tiansong Li, & Hongkui Wang. (2021). Fast GLCM-based Intra Block Partition for VVC. 382–382. 6 indexed citations

5.

Zhang, Huanchen, Hyeontaek Lim, Viktor Leis, et al.. (2021). Succinct range filters. Communications of the ACM. 64(4). 166–173. 1 indexed citations

6.

Zhang, Huanchen, Xiaoxuan Liu, David G. Andersen, et al.. (2020). Order-Preserving Key Compression for In-Memory Search Trees. 1601–1615. 20 indexed citations

7.

Zhang, Huanchen, Hyeontaek Lim, Viktor Leis, et al.. (2020). Succinct Range Filters. ACM Transactions on Database Systems. 45(2). 1–31. 8 indexed citations

8.

Zhang, Huanchen. (2019). The End of the x86 Dominance in Databases. Conference on Innovative Data Systems Research. 1 indexed citations

9.

Zhang, Huanchen, Hyeontaek Lim, Viktor Leis, et al.. (2019). Succinct Range Filters. ACM SIGMOD Record. 48(1). 78–85. 3 indexed citations

10.

Zhang, Huanchen, Hyeontaek Lim, Viktor Leis, et al.. (2018). SuRF. 323–336. 106 indexed citations

11.

Wang, Ziqi, Andrew Pavlo, Hyeontaek Lim, et al.. (2018). Building a Bw-Tree Takes More Than Just Buzz Words. 473–488. 59 indexed citations

12.

Zhang, Huanchen, David G. Andersen, Andrew Pavlo, et al.. (2016). Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes. 1567–1581. 77 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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