D. N. T. How

1.6k total citations · 2 hit papers
11 papers, 1.2k citations indexed

About

D. N. T. How is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, D. N. T. How has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Automotive Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in D. N. T. How's work include Advanced Battery Technologies Research (9 papers), Advancements in Battery Materials (7 papers) and Fault Detection and Control Systems (3 papers). D. N. T. How is often cited by papers focused on Advanced Battery Technologies Research (9 papers), Advancements in Battery Materials (7 papers) and Fault Detection and Control Systems (3 papers). D. N. T. How collaborates with scholars based in Malaysia, Australia and Denmark. D. N. T. How's co-authors include M. A. Hannan, Molla Shahadat Hossain Lipu, Pin Jern Ker, Tahia Fahrin Karim, Mohamad Hanif Md Saad, Aini Hussain, Afida Ayob, Frede Blaabjerg, Zhao Yang Dong and Kashem M. Muttaqi and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and IEEE Transactions on Power Electronics.

In The Last Decade

D. N. T. How

11 papers receiving 1.2k 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.

State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review

2019 549 citations D. N. T. How, M. A. Hannan et al. IEEE Access profile →
Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends

2020 297 citations Molla Shahadat Hossain Lipu, M. A. Hannan et al. Journal of Cleaner Production profile →

Peers

D. N. T. How

AE

EEE

CSE

SRRQ

AI

Ephrem Chemali Canada

Ala A. Hussein United States

Mattia Ricco Italy

Zechang Sun China

Mingwang Wang China

Zeyu Chen China

Xiaosong Hu China

Dominik Jöst Germany

Meng Wei China

Hector E. Perez United States

Ephrem Chemali Canada

D. N. T. How

1.5k ×1.3

AE

1.4k ×1.4

EEE

449 ×1.2

CSE

97 ×1.2

SRRQ

48 ×1.2

AI

Citations per year, relative to D. N. T. How D. N. T. How (= 1×) peers Ephrem Chemali

Countries citing papers authored by D. N. T. How

Since Specialization

Citations

This map shows the geographic impact of D. N. T. How'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 D. N. T. How with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. N. T. How more than expected).

Fields of papers citing papers by D. N. T. How

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. N. T. How. 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 D. N. T. How. The network helps show where D. N. T. How may publish in the future.

Co-authorship network of co-authors of D. N. T. How

This figure shows the co-authorship network connecting the top 25 collaborators of D. N. T. How. A scholar is included among the top collaborators of D. N. T. How 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 D. N. T. How. D. N. T. How 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:

11 of 11 papers shown

1.

How, D. N. T., M. A. Hannan, Molla Shahadat Hossain Lipu, et al.. (2022). SOC Estimation Using Deep Bidirectional Gated Recurrent Units With Tree Parzen Estimator Hyperparameter Optimization. IEEE Transactions on Industry Applications. 58(5). 6629–6638. 24 indexed citations

2.

Hannan, M. A., D. N. T. How, Molla Shahadat Hossain Lipu, et al.. (2021). Deep learning approach towards accurate state of charge estimation for lithium-ion batteries using self-supervised transformer model. Scientific Reports. 11(1). 19541–19541. 112 indexed citations

3.

How, D. N. T., M. A. Hannan, Molla Shahadat Hossain Lipu, et al.. (2021). SOC Estimation using Deep Bidirectional Gated Recurrent Units with Tree Parzen Estimator Hyperparameter Optimization. 2021 IEEE Industry Applications Society Annual Meeting (IAS). 1. 1–8. 1 indexed citations

4.

Hannan, M. A., D. N. T. How, Muhamad Mansor, et al.. (2021). State-of-Charge Estimation of Li-ion Battery Using Gated Recurrent Unit With One-Cycle Learning Rate Policy. IEEE Transactions on Industry Applications. 57(3). 2964–2971. 46 indexed citations

5.

Hannan, M. A., D. N. T. How, Muhamad Mansor, et al.. (2020). State-of-Charge Estimation of Li-ion Battery at Variable Ambient Temperature with Gated Recurrent Unit Network. 1–8. 12 indexed citations

6.

Lipu, Molla Shahadat Hossain, M. A. Hannan, Aini Hussain, et al.. (2020). Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends. Journal of Cleaner Production. 277. 124110–124110. 297 indexed citations breakdown →

7.

Hannan, M. A., D. N. T. How, Molla Shahadat Hossain Lipu, et al.. (2020). SOC Estimation of Li-ion Batteries With Learning Rate-Optimized Deep Fully Convolutional Network. IEEE Transactions on Power Electronics. 36(7). 7349–7353. 164 indexed citations

8.

How, D. N. T., et al.. (2019). Distracted Driver Detection with Deep Convolutional Neural Network. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 6159–6163. 9 indexed citations

9.

How, D. N. T., M. A. Hannan, Molla Shahadat Hossain Lipu, & Pin Jern Ker. (2019). State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review. IEEE Access. 7. 136116–136136. 549 indexed citations breakdown →

10.

Faisal, Mohammad, et al.. (2019). Intelligent Home Automation System for Disabled People. International Journal of Engineering and Advanced Technology. 9(2). 4142–4148. 1 indexed citations

11.

How, D. N. T., M. A. Hannan, Molla Shahadat Hossain Lipu, et al.. (2019). State-of-Charge Estimation of Li-ion Battery in Electric Vehicles: A Deep Neural Network Approach. 1–8. 22 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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