Longlong Chang

496 total citations
13 papers, 384 citations indexed

About

Longlong Chang is a scholar working on Condensed Matter Physics, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Longlong Chang has authored 13 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Condensed Matter Physics, 5 papers in Biomedical Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Longlong Chang's work include Micro and Nano Robotics (5 papers), Biomimetic flight and propulsion mechanisms (4 papers) and Modular Robots and Swarm Intelligence (3 papers). Longlong Chang is often cited by papers focused on Micro and Nano Robotics (5 papers), Biomimetic flight and propulsion mechanisms (4 papers) and Modular Robots and Swarm Intelligence (3 papers). Longlong Chang collaborates with scholars based in United States, China and Chile. Longlong Chang's co-authors include Néstor O. Pérez-Arancibia, Ariel A. Calderón, Juan Cristóbal Zagal, Ran Tian, Zhihui Sun, Jinshi Wang, Xin Lu, Xin Lü and Jiarui Wu and has published in prestigious journals such as IEEE Access, Smart Materials and Structures and Transportation Research Part E Logistics and Transportation Review.

In The Last Decade

Longlong Chang

13 papers receiving 373 citations

Peers

Longlong Chang
Sun-Pill Jung South Korea
Zhijian Ren United States
Zihao Luo China
Robert Baines United States
Aaron M. Hoover United States
Nathaniel N. Goldberg United States
Minkyun Noh United States
Andrew T. Baisch United States
Sun-Pill Jung South Korea
Longlong Chang
Citations per year, relative to Longlong Chang Longlong Chang (= 1×) peers Sun-Pill Jung

Countries citing papers authored by Longlong Chang

Since Specialization
Citations

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

Fields of papers citing papers by Longlong Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longlong Chang

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

All Works

13 of 13 papers shown
1.
Tian, Ran, Jinshi Wang, Zhihui Sun, et al.. (2025). Multi-Scale Spatial-Temporal Graph Attention Network for Charging Station Load Prediction. IEEE Access. 13. 29000–29017. 2 indexed citations
2.
Tian, Ran, et al.. (2025). PTB: A deep reinforcement learning method for flexible logistics service combination problem with spatial-temporal constraint. Transportation Research Part E Logistics and Transportation Review. 195. 103978–103978. 1 indexed citations
3.
Chang, Longlong, et al.. (2021). Preisach-model-based position control of a shape-memory alloy linear actuator in the presence of time-varying stress. Mechatronics. 73. 102452–102452. 16 indexed citations
4.
Chang, Longlong, et al.. (2020). An 88-milligram insect-scale autonomous crawling robot driven by a catalytic artificial muscle. Science Robotics. 5(45). 146 indexed citations
5.
Chang, Longlong, et al.. (2020). Automatic Multigrid Generation for an Unstructured Parallel Overset-Grid Solver. AIAA Scitech 2020 Forum. 1 indexed citations
6.
Calderón, Ariel A., et al.. (2019). An earthworm-inspired soft robot with perceptive artificial skin. Bioinspiration & Biomimetics. 14(5). 56012–56012. 66 indexed citations
7.
Chang, Longlong, et al.. (2019). Bee+: A 95-mg Four-Winged Insect-Scale Flying Robot Driven by Twinned Unimorph Actuators. IEEE Robotics and Automation Letters. 4(4). 4270–4277. 47 indexed citations
8.
Calderón, Ariel A., et al.. (2019). Control of Flying Robotic Insects: A Perspective and Unifying Approach. 747–754. 7 indexed citations
10.
Chang, Longlong, et al.. (2018). Clip-brazing for the design and fabrication of micronewton-resolution millimeter-scale force sensors. Smart Materials and Structures. 28(5). 55028–55028. 6 indexed citations
11.
Calderón, Ariel A., et al.. (2018). An earthworm-inspired friction-controlled soft robot capable of bidirectional locomotion. Bioinspiration & Biomimetics. 14(3). 36004–36004. 75 indexed citations
12.
Chang, Longlong & Néstor O. Pérez-Arancibia. (2018). Time-Averaged Dynamic Modeling of a Flapping-Wing Micro Air Vehicle with Passive Rotation Mechanisms. 6 indexed citations
13.
Chang, Longlong & Néstor O. Pérez-Arancibia. (2016). The Dynamics of Passive Wing-Pitching in Hovering Flight of Flapping Micro Air Vehicles Using Three-Dimensional Aerodynamic Simulations. AIAA Atmospheric Flight Mechanics Conference. 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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