Xiaodi Wu

2.0k citations
54 papers · 1.1k · h-index 15

Impact in

  • Catalysis top 5%
    • Catalysis and Oxidation Reactions
    • Quantum Computing Algorithms and Architecture
    • Quantum Information and Cryptography

Papers in

Xiaodi Wu

51 papers receiving 1.0k citations

Peers

Xiaodi Wu
Comparison fields: 5 of 71
  • Catalysis 277
  • Artificial Intelligence 630
  • Atomic and Molecular Physics, and Optics 299
  • Computational Theory and Mathematics 137
  • Materials Chemistry 364
Replace Joonwoo Bae with:
Joonwoo Bae South Korea
JJ Johan Lukkien Netherlands
Sumanta Sarkar India
Nicholas C. Rubin United States
K.E. Larsen Denmark
Yingzhou Li United States
Elena V. Konstantinova Russia
Andrew V. Zeigarnik Russia
Rodrigo A. Vargas–Hernández Canada
Xiaodi Wu relative to Joonwoo Bae South Korea Joonwoo Bae's profile →
Citations per field
00.5×2.7×
Joonwoo Bae · 1×
Citations per year

Countries citing papers authored by Xiaodi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaodi Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaodi Wu Line = papers co-authored together Xiaodi Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007217
2 2020159
3 2017120
4 200772
5 202171
6 201660
7 200755
8 201929
9 201824
10
Quantitative robustness analysis of quantum programs
201922
11 201122
12 202318
13 201718
14 202017
15 201616
16 200814
17 202413
18 201711
19 202210
20
Exponential Quantum Speed-ups for Semidefinite Programming with Applications to Quantum Learning
20179

About Xiaodi Wu

Xiaodi Wu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Materials Chemistry, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (37 papers), Quantum Information and Cryptography (24 papers), Quantum Mechanics and Applications (10 papers), Computability, Logic, AI Algorithms (8 papers), Catalytic Processes in Materials Science (5 papers), Machine Learning and Algorithms (4 papers), Stochastic Gradient Optimization Techniques (4 papers) and Advancements in Solid Oxide Fuel Cells (3 papers). The work is most often cited by research in Catalysis (277 citations), Artificial Intelligence (630 citations), Atomic and Molecular Physics, and Optics (299 citations), Computational Theory and Mathematics (137 citations) and Materials Chemistry (364 citations). Xiaodi Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Aram W. Harrow, Xiaodong Wu, Duan Weng, Qing Liang, Jun Fan, Tianyi Peng, Rui Ran, Māris Ozols, Nengkun Yu and Zhengfeng Ji. Their work appears in journals such as Proceedings of the ACM on Programming Languages, INFORMS journal on computing, IEEE Transactions on Information Theory, Communications in Mathematical Physics and Quantum.

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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