Hailan Ma

549 total citations
25 papers, 328 citations indexed

About

Hailan Ma is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Management Science and Operations Research. According to data from OpenAlex, Hailan Ma has authored 25 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Atomic and Molecular Physics, and Optics and 2 papers in Management Science and Operations Research. Recurrent topics in Hailan Ma's work include Quantum Information and Cryptography (17 papers), Quantum Computing Algorithms and Architecture (13 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). Hailan Ma is often cited by papers focused on Quantum Information and Cryptography (17 papers), Quantum Computing Algorithms and Architecture (13 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). Hailan Ma collaborates with scholars based in China, Australia and United States. Hailan Ma's co-authors include Daoyi Dong, Chunlin Chen, Zhixin Liu, Herschel Rabitz, Xing Xi, Steven X. Ding, Guo‐Yong Xiang, Yufeng Li, Jun-Feng Tang and Qi Yin and has published in prestigious journals such as Automatica, Human Reproduction and Sustainability.

In The Last Decade

Hailan Ma

22 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hailan Ma China	9	228	116	29	28	25	25	328
Yuzhen Qin China	9	26 0.1×	15 0.1×	5 0.2×	15 0.5×	92 3.7×	29	242
Māris Ozols United States	11	426 1.9×	260 2.2×		35 1.3×	22 0.9×	33	605
Alexander Hentschel Germany	7	256 1.1×	131 1.1×		27 1.0×	24 1.0×	14	313
Yuan Su China	12	222 1.0×	137 1.2×		34 1.2×	16 0.6×	24	333
Firas Hamze United States	11	233 1.0×	71 0.6×		29 1.0×	26 1.0×	19	346
Xingxing Xing China	7	228 1.0×	206 1.8×		26 0.9×	35 1.4×	26	349
Mhlambululi Mafu Botswana	8	378 1.7×	378 3.3×		56 2.0×	12 0.5×	32	475
Denis Lukovnikov Germany	9	208 0.9×	70 0.6×		49 1.8×	7 0.3×	19	309
Guillaume Verdon Canada	4	340 1.5×	114 1.0×		47 1.7×	9 0.4×	5	411
Sofiène Jerbi Austria	6	255 1.1×	71 0.6×		35 1.3×	9 0.4×	11	289

Countries citing papers authored by Hailan Ma

Since Specialization

Citations

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

Fields of papers citing papers by Hailan Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailan Ma

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

All Works

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20 of 20 papers shown

Ma, Hailan, et al.. (2025). Auxiliary Task-Based Deep Reinforcement Learning for Quantum Control. IEEE Transactions on Cybernetics. 55(2). 712–725. 2 indexed citations

Ma, Hailan, et al.. (2025). Learning Informative Latent Representation for Quantum State Tomography. IEEE Transactions on Emerging Topics in Computational Intelligence. 1–11. 2 indexed citations

Ma, Hailan, Bo Qi, Ian R. Petersen, et al.. (2025). Machine learning for estimation and control of quantum systems. National Science Review. 12(8). nwaf269–nwaf269.

Ma, Hailan, Zhenhong Sun, Daoyi Dong, Chunlin Chen, & Herschel Rabitz. (2025). Tomography of Quantum States From Structured Measurements via Quantum-Aware Transformer. IEEE Transactions on Cybernetics. 55(6). 2571–2582. 4 indexed citations

Ma, Hailan, et al.. (2024). Neural networks for quantum state tomography with constrained measurements. Quantum Information Processing. 23(9). 3 indexed citations

Ma, Hailan, et al.. (2024). Quantum autoencoders using mixed reference states. npj Quantum Information. 10(1). 2 indexed citations

Wang, Junyan, et al.. (2024). EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance. ANU Open Research (Australian National University). 6637–6645.

Ma, Hailan, et al.. (2023). Tomography of quantum detectors using neural networks. IFAC-PapersOnLine. 56(2). 5875–5880. 3 indexed citations

Ma, Hailan, et al.. (2023). Estimation of Quantum Channels Using Neural Networks. 1195–1200. 1 indexed citations

10.

Ma, Hailan, et al.. (2023). A Study on the Visual Communication and Development of Green Design: A Cross-Database Prediction Analysis from 1972 to 2022. Sustainability. 15(8). 6359–6359.

11.

Ma, Hailan, et al.. (2022). Two-step robust control design of quantum gates via differential evolution. Journal of the Franklin Institute. 360(17). 13972–13993. 2 indexed citations

12.

Zhang, Shunji, Yi Tang, Xiaojuan Wang, et al.. (2022). Estrogen valerate pretreatment with the antagonist protocol does not increase oocyte retrieval in patients with low ovarian response: a randomized controlled trial. Human Reproduction. 37(7). 1431–1439. 8 indexed citations

13.

Ma, Hailan, Daoyi Dong, Steven X. Ding, & Chunlin Chen. (2022). Curriculum-Based Deep Reinforcement Learning for Quantum Control. IEEE Transactions on Neural Networks and Learning Systems. 34(11). 8852–8865. 29 indexed citations

14.

Ma, Hailan, et al.. (2021). Deep Reinforcement Learning With Quantum-Inspired Experience Replay. IEEE Transactions on Cybernetics. 52(9). 9326–9338. 65 indexed citations

15.

Ma, Hailan & Chunlin Chen. (2020). Several developments in learning control of quantum systems. 4165–4172. 5 indexed citations

16.

Ma, Hailan, Qi Yin, Jun-Feng Tang, et al.. (2020). Realization of a quantum autoencoder for lossless compression of quantum data. Physical review. A. 102(3). 36 indexed citations

17.

Dong, Daoyi, Xing Xi, Hailan Ma, et al.. (2019). Learning-Based Quantum Robust Control: Algorithm, Applications, and Experiments. IEEE Transactions on Cybernetics. 50(8). 3581–3593. 69 indexed citations

18.

Xu, Xudong, et al.. (2018). Control design of two-level quantum systems with reinforcement learning. 922–927. 4 indexed citations

19.

Ma, Hailan, et al.. (2017). Quantum learning control using differential evolution with equally-mixed strategies. Control Theory and Technology. 15(3). 226–241. 13 indexed citations

20.

Sun, Yingying, et al.. (2015). Ensemble control of open quantum systems using differential evolution. 292. 1–6. 6 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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