Daniel Y. Mo

695 total citations
50 papers, 438 citations indexed

About

Daniel Y. Mo is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Management of Technology and Innovation. According to data from OpenAlex, Daniel Y. Mo has authored 50 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Industrial and Manufacturing Engineering, 12 papers in Management Information Systems and 11 papers in Management of Technology and Innovation. Recurrent topics in Daniel Y. Mo's work include Product Development and Customization (10 papers), Supply Chain and Inventory Management (9 papers) and Advanced Manufacturing and Logistics Optimization (9 papers). Daniel Y. Mo is often cited by papers focused on Product Development and Customization (10 papers), Supply Chain and Inventory Management (9 papers) and Advanced Manufacturing and Logistics Optimization (9 papers). Daniel Y. Mo collaborates with scholars based in Hong Kong, Taiwan and United Kingdom. Daniel Y. Mo's co-authors include Mitchell M. Tseng, Yue Wang, Yue Wang, G.T.S. Ho, K.H. Leung, Hoi‐Lam Ma, Eugene Y. Wong, Wenyuan Wang, George Q. Huang and C.H. Wu and has published in prestigious journals such as IEEE Access, International Journal of Production Economics and Sustainability.

In The Last Decade

Daniel Y. Mo

44 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Y. Mo Hong Kong	11	140	109	83	69	60	50	438
Lea Hannola Finland	10	140 1.0×	120 1.1×	99 1.2×	75 1.1×	63 1.1×	46	489
Lina He China	13	120 0.9×	147 1.3×	79 1.0×	182 2.6×	40 0.7×	26	484
Till Becker Germany	15	262 1.9×	78 0.7×	70 0.8×	96 1.4×	57 0.9×	42	546
Rémy Houssin France	13	113 0.8×	102 0.9×	34 0.4×	133 1.9×	44 0.7×	33	454
Ping‐Kuo Chen China	13	93 0.7×	179 1.6×	89 1.1×	22 0.3×	106 1.8×	40	542
Alexis Aubry France	12	189 1.4×	55 0.5×	146 1.8×	61 0.9×	79 1.3×	42	445
Mohammad Ali Beheshtinia Iran	13	128 0.9×	95 0.9×	71 0.9×	74 1.1×	20 0.3×	37	470
Andreas Riel France	11	110 0.8×	94 0.9×	49 0.6×	67 1.0×	39 0.7×	72	471
Carys Siemieniuch United Kingdom	13	108 0.8×	190 1.7×	192 2.3×	78 1.1×	31 0.5×	67	667
Ip‐Shing Fan United Kingdom	14	133 0.9×	109 1.0×	219 2.6×	67 1.0×	99 1.6×	73	630

Countries citing papers authored by Daniel Y. Mo

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Y. Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Y. Mo. 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 Daniel Y. Mo. The network helps show where Daniel Y. Mo may publish in the future.

Co-authorship network of co-authors of Daniel Y. Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Y. Mo. A scholar is included among the top collaborators of Daniel Y. Mo 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 Daniel Y. Mo. Daniel Y. Mo 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

Li, Xiang, et al.. (2024). Automating Customer Needs to Engineering Characteristics Mapping in Quality Function Deployment: A Deep Learning Approach. 1–5. 1 indexed citations

Mohanta, Hare Krishna, et al.. (2024). Adaptive Self-Tuning Robotic Autonomy for Unmanned Aerial Vehicles. 1–7. 1 indexed citations

Tsang, Yung Po, et al.. (2024). A deep reinforcement learning approach for online and concurrent 3D bin packing optimisation with bin replacement strategies. Computers in Industry. 164. 104202–104202. 5 indexed citations

Tsang, Yung Po, et al.. (2024). DeepPack3D: A Python package for online 3D bin packing optimization by deep reinforcement learning and constructive heuristics. Software Impacts. 23. 100732–100732.

Purohit, Sharad, et al.. (2024). Real-Time Threat Detection and Response Using Computer Vision in Border Security. 1–6. 3 indexed citations

Mo, Daniel Y., et al.. (2023). Online reinforcement learning-based inventory control for intelligent E-Fulfilment dealing with nonstationary demand. Enterprise Information Systems. 18(2). 7 indexed citations

Lam, H.Y., G.T.S. Ho, Daniel Y. Mo, & Valerie Tang. (2023). Responsive pick face replenishment strategy for stock allocation to fulfil e-commerce order. International Journal of Production Economics. 264. 108976–108976. 8 indexed citations

Chris, Y. T. & Daniel Y. Mo. (2023). Integrating internet of things in service parts operations for sustainability. International Journal of Engineering Business Management. 15. 4 indexed citations

Mo, Daniel Y., et al.. (2022). Theoretical model of investigating determinants for a successful Electronic Assessment System (EAS) in higher education. Education and Information Technologies. 27(9). 12543–12566. 5 indexed citations

10.

Mo, Daniel Y., Yue Wang, Danny C. K. Ho, & K.H. Leung. (2021). Redeploying excess inventories with lateral and reverse transshipments. International Journal of Production Research. 60(10). 3031–3046. 3 indexed citations

11.

Wang, Yue, Xiang Li, & Daniel Y. Mo. (2021). Knowledge-Empowered Multitask Learning to Address the Semantic Gap Between Customer Needs and Design Specifications. IEEE Transactions on Industrial Informatics. 17(12). 8397–8405. 21 indexed citations

12.

Lam, H.Y., G.T.S. Ho, Daniel Y. Mo, & Valerie Tang. (2021). Enhancing data-driven elderly appointment services in domestic care communities under COVID-19. Industrial Management & Data Systems. 121(7). 1552–1576. 10 indexed citations

13.

Wong, Eugene Y., Daniel Y. Mo, & Stuart So. (2020). Closed-loop digital twin system for air cargo load planning operations. International Journal of Computer Integrated Manufacturing. 34(7-8). 801–813. 30 indexed citations

14.

Mo, Daniel Y., et al.. (2020). Design of Flexible Vehicle Scheduling Systems for Sustainable Paratransit Services. Sustainability. 12(14). 5594–5594. 1 indexed citations

15.

Leung, K.H. & Daniel Y. Mo. (2019). A Fuzzy-AHP Approach for Strategic Evaluation and Selection of Digital Marketing Tools. 1422–1426. 8 indexed citations

16.

Mo, Daniel Y., et al.. (2019). Revamping NetApp’s Service Parts Operations by Process Optimization. 49(6). 407–421. 4 indexed citations

17.

Wang, Yue & Daniel Y. Mo. (2018). The Effect of Default Options on Consumer Decisions in the Product Configuration Process.. 31–36. 1 indexed citations

18.

Mo, Daniel Y., et al.. (2018). Mapping customer needs to design parameters in the front end of product design by applying deep learning. CIRP Annals. 67(1). 145–148. 49 indexed citations

19.

Mo, Daniel Y., et al.. (2017). Shared Dial-a-Ride Service for More People with Lower Price. Transportation Research Board 96th Annual MeetingTransportation Research Board.

20.

Mo, Daniel Y., et al.. (2006). Flow diversion approaches for shipment routing in automatic shipment handling systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 695–700. 1 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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