Da Zheng

2.4k total citations
42 papers, 929 citations indexed

About

Da Zheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Da Zheng has authored 42 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Da Zheng's work include Advanced Graph Neural Networks (20 papers), Graph Theory and Algorithms (13 papers) and Topic Modeling (6 papers). Da Zheng is often cited by papers focused on Advanced Graph Neural Networks (20 papers), Graph Theory and Algorithms (13 papers) and Topic Modeling (6 papers). Da Zheng collaborates with scholars based in United States, China and Hong Kong. Da Zheng's co-authors include George Karypis, Xiang Song, Zheng Zhang, Minjie Wang, Chao Ma, Randal Burns, Alexander S. Szalay, Jinjing Zhou, Zihao Ye and Joshua T Vogelstein and has published in prestigious journals such as Journal of Power Sources, Small and Physical Chemistry Chemical Physics.

In The Last Decade

Da Zheng

35 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Da Zheng United States	14	621	416	201	171	128	42	929
Maciej Besta Switzerland	16	325 0.5×	250 0.6×	480 2.4×	226 1.3×	269 2.1×	44	925
Qipeng Guo China	11	907 1.5×	219 0.5×	58 0.3×	118 0.7×	27 0.2×	22	1.1k
Bo Zhao China	13	304 0.5×	148 0.4×	239 1.2×	143 0.8×	41 0.3×	69	604
Youshan Miao China	12	443 0.7×	551 1.3×	320 1.6×	283 1.7×	122 1.0×	17	782
Sanjay Rawat India	16	395 0.6×	308 0.7×	205 1.0×	372 2.2×	73 0.6×	31	1.2k
Domagoj Vrgoč Chile	11	340 0.5×	274 0.7×	363 1.8×	133 0.8×	30 0.2×	38	742
Long Zheng China	16	254 0.4×	293 0.7×	388 1.9×	233 1.4×	283 2.2×	114	822
Zengfeng Huang China	12	487 0.8×	158 0.4×	246 1.2×	128 0.7×	10 0.1×	44	726
Bryan Kisiel United States	7	1.2k 2.0×	207 0.5×	60 0.3×	309 1.8×	30 0.2×	12	1.4k

Countries citing papers authored by Da Zheng

Since Specialization

Citations

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

Fields of papers citing papers by Da Zheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Da Zheng. A scholar is included among the top collaborators of Da Zheng 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 Da Zheng. Da Zheng 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

Zheng, Da, et al.. (2025). Exploring the enantioselective synthesis mechanism of ammonium cations in solution using deep learning potential. Physical Chemistry Chemical Physics. 27(44). 23914–23929.

Zhang, Xin, Qin Wang, Chunfei Zhang, et al.. (2025). Efficiently transforming the spent LiNi1−x−yMnxCoyO2 into trifunctional electrocatalysts under neutral condition. Journal of Power Sources. 645. 237207–237207. 1 indexed citations

Zhang, Ningyu, Zhiqiang Zhang, Jun Zhou, et al.. (2025). OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. 2871–2874. 1 indexed citations

Zhang, Xin, Qiuju Zhang, Qin Wang, et al.. (2025). Efficiently Re‐Utilizing the High‐Value Metals in the Spent LiNi _1−x−y Mn _x Co _y O ₂ for the Trifunctional Electrocatalysts by a Novel One‐Pot Method. Small. 21(10). e2411337–e2411337. 1 indexed citations

Xu, Heng, Xin Zhang, Liusheng Xiao, et al.. (2025). A trifunctional electrocatalyst of multi-component metal sulfide for methanol-assisted zinc-air batteries with enhanced energy efficiency. Journal of Alloys and Compounds. 1024. 180074–180074.

Zheng, Da, Qi Zhu, Zichen Wang, et al.. (2024). GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. 6356–6367. 3 indexed citations

Zheng, Da, et al.. (2024). A Multipole-Based Reactive Force Field for Hydrocarbons. Journal of Chemical Theory and Computation. 20(22). 10045–10058. 1 indexed citations

Zheng, Da, et al.. (2024). RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing. 964–979. 2 indexed citations

Zou, Lei, et al.. (2024). Research on Intelligent Water Treatment Strategy based on DCS Control System. Journal of Physics Conference Series. 2800(1). 12006–12006.

10.

Wu, Kun, et al.. (2024). Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures. 528–544.

11.

Zheng, Da, Jun Ma, Vassilis N. Ioannidis, et al.. (2023). Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. PubMed. 2023. 5270–5281. 13 indexed citations

12.

Nisa, Israt, Minjie Wang, Da Zheng, et al.. (2023). Optimizing Irregular Dense Operators of Heterogeneous GNN Models on GPU. 32. 199–206. 2 indexed citations

13.

Zheng, Da, Minjie Wang, Quan Gan, Zheng Zhang, & George Karypis. (2020). Learning Graph Neural Networks with Deep Graph Library. 305–306. 10 indexed citations

14.

Zheng, Da, et al.. (2020). Scalable Graph Neural Networks with Deep Graph Library. 3521–3522. 4 indexed citations

15.

Wang, Minjie, Lingfan Yu, Da Zheng, et al.. (2019). Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. arXiv (Cornell University). 260 indexed citations

16.

Vogelstein, Joshua T, Eric Bridgeford, Minh Tang, et al.. (2017). Geometric Dimensionality Reduction for Subsequent Classification. arXiv (Cornell University).

17.

Vogelstein, Joshua T, Minh Tang, Da Zheng, Randal Burns, & Mauro Maggioni. (2017). Linear Optimal Low Rank Projection for High-Dimensional Multi-class Data. arXiv (Cornell University).

18.

Zheng, Da, et al.. (2015). FlashGraph: processing billion-node graphs on an array of commodity SSDs. arXiv (Cornell University). 45–58. 130 indexed citations

19.

Zheng, Da, Randal Burns, & Alexander S. Szalay. (2012). A parallel page cache: IOPS and caching for multicore systems. 5–5. 9 indexed citations

20.

Zhao, Qianchuan & Da Zheng. (1999). . Discrete Event Dynamic Systems. 9(1). 45–64. 7 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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