Adam Dai

702 total citations · 1 hit paper
8 papers, 577 citations indexed

About

Adam Dai is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Adam Dai has authored 8 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Cognitive Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Adam Dai's work include Motor Control and Adaptation (2 papers), Tactile and Sensory Interactions (2 papers) and Robotics and Sensor-Based Localization (2 papers). Adam Dai is often cited by papers focused on Motor Control and Adaptation (2 papers), Tactile and Sensory Interactions (2 papers) and Robotics and Sensor-Based Localization (2 papers). Adam Dai collaborates with scholars based in United States and China. Adam Dai's co-authors include You Yu, Wei Gao, Changhao Xu, Jihong Min, Aaron D. Ames, Yu Song, Yiran Yang, Rachel Gehlhar, Rohan Doshi and Joanna M. Nassar and has published in prestigious journals such as IEEE Transactions on Automatic Control, Science Robotics and Journal of Visualized Experiments.

In The Last Decade

Adam Dai

8 papers receiving 565 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Biofuel-powered soft electronic skin with multiplexed and wireless sensing for human-machine interfaces

2020 531 citations You Yu, Joanna M. Nassar et al. Science Robotics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Dai United States	4	464	192	165	144	68	8	577
Rachel Gehlhar United States	6	554 1.2×	193 1.0×	168 1.0×	144 1.0×	71 1.0×	8	652
Rohan Doshi United States	9	468 1.0×	264 1.4×	165 1.0×	146 1.0×	71 1.0×	11	680
Huayu Luo China	11	590 1.3×	234 1.2×	149 0.9×	155 1.1×	78 1.1×	18	738
Jiangtao Su China	13	463 1.0×	255 1.3×	124 0.8×	109 0.8×	146 2.1×	28	705
Jiaming Qi Singapore	8	529 1.1×	178 0.9×	134 0.8×	116 0.8×	98 1.4×	11	661
Qiang Zou China	14	569 1.2×	229 1.2×	167 1.0×	227 1.6×	61 0.9×	46	728
Amer A. Chlaihawi United States	16	678 1.5×	380 2.0×	228 1.4×	221 1.5×	55 0.8×	27	827
Taemin Lee South Korea	11	644 1.4×	274 1.4×	245 1.5×	286 2.0×	91 1.3×	35	831
Han Fang China	11	477 1.0×	248 1.3×	196 1.2×	163 1.1×	57 0.8×	14	638
Lina Castano United States	7	498 1.1×	179 0.9×	260 1.6×	109 0.8×	64 0.9×	15	727

Countries citing papers authored by Adam Dai

Since Specialization

Citations

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

Fields of papers citing papers by Adam Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Dai

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

8 of 8 papers shown

1.

Dai, Adam, et al.. (2023). Spoofing-Resilient LiDAR-GPS Factor Graph Localization with Chimera Authentication. 470–480. 1 indexed citations

2.

Dai, Adam, et al.. (2023). Neural Radiance Maps for Extraterrestrial Navigation and Path Planning. Proceedings of the Satellite Division's International Technical Meeting (Online). 1606–1620. 2 indexed citations

3.

Shetty, Akshay, et al.. (2023). Safeguarding Learning-Based Planners Under Motion and Sensing Uncertainties Using Reachability Analysis. 7872–7878. 2 indexed citations

4.

Dai, Adam, et al.. (2022). Ellipsotopes: Uniting Ellipsoids and Zonotopes for Reachability Analysis and Fault Detection. IEEE Transactions on Automatic Control. 68(6). 3440–3452. 33 indexed citations

5.

Liu, Quanying, et al.. (2020). WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control. Journal of Visualized Experiments. 1 indexed citations

6.

Yu, You, Joanna M. Nassar, Changhao Xu, et al.. (2020). Biofuel-powered soft electronic skin with multiplexed and wireless sensing for human-machine interfaces. Science Robotics. 5(41). 531 indexed citations breakdown →

7.

Liu, Quanying, et al.. (2019). Experimental and educational platforms for studying architecture and tradeoffs in human sensorimotor control. 483–488. 3 indexed citations

8.

Doyle, John C., et al.. (2016). Teaching control theory in high school. 5925–5949. 4 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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