Kunang Li

845 total citations · 1 hit paper
10 papers, 558 citations indexed

About

Kunang Li is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Kunang Li has authored 10 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Automotive Engineering, 9 papers in Electrical and Electronic Engineering and 1 paper in Renewable Energy, Sustainability and the Environment. Recurrent topics in Kunang Li's work include Electric and Hybrid Vehicle Technologies (9 papers), Advanced Battery Technologies Research (9 papers) and Electric Vehicles and Infrastructure (6 papers). Kunang Li is often cited by papers focused on Electric and Hybrid Vehicle Technologies (9 papers), Advanced Battery Technologies Research (9 papers) and Electric Vehicles and Infrastructure (6 papers). Kunang Li collaborates with scholars based in China. Kunang Li's co-authors include Chunchun Jia, Jiaming Zhou, Zhongbao Wei, Jianwei Li, Hongwen He, Hongwen He, Jianwei Li, Fengyan Yi, Caizhi Zhang and Menglin Li and has published in prestigious journals such as Applied Energy, International Journal of Hydrogen Energy and Energy.

In The Last Decade

Kunang Li

9 papers receiving 540 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.

A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism

2024 92 citations Chunchun Jia, Hongwen He et al. International Journal of Hydrogen Energy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kunang Li China	8	425	364	70	62	46	10	558
Chunchun Jia China	15	587 1.4×	517 1.4×	87 1.2×	110 1.8×	62 1.3×	23	810
Zuchang Gao Singapore	11	328 0.8×	232 0.6×	97 1.4×	52 0.8×	51 1.1×	16	408
Yinbo Wu China	5	424 1.0×	380 1.0×	50 0.7×	52 0.8×	21 0.5×	6	552
Xiang Meng China	10	516 1.2×	430 1.2×	75 1.1×	109 1.8×	37 0.8×	14	611
Hongwen He China	10	273 0.6×	271 0.7×	76 1.1×	67 1.1×	30 0.7×	39	423
Qiang Lu China	6	246 0.6×	263 0.7×	31 0.4×	87 1.4×	16 0.3×	7	365
P. Sharer United States	11	328 0.8×	483 1.3×	64 0.9×	89 1.4×	18 0.4×	21	563
Caizhi Zhang China	10	193 0.5×	134 0.4×	57 0.8×	33 0.5×	55 1.2×	20	279
Ye Tao China	9	320 0.8×	350 1.0×	38 0.5×	106 1.7×	26 0.6×	22	474
O. Oñederra Spain	9	399 0.9×	279 0.8×	61 0.9×	75 1.2×	32 0.7×	20	461

Countries citing papers authored by Kunang Li

Since Specialization

Citations

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

Fields of papers citing papers by Kunang Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunang Li

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

10 of 10 papers shown

1.

Li, Kunang, et al.. (2025). Power-Aware Predictive Energy Management Integrating a Transformer-Based Hybrid Prediction Method for Fuel Cell Vehicles. IEEE Transactions on Transportation Electrification. 11(6). 13339–13350.

2.

Jia, Chunchun, Hongwen He, Jiaming Zhou, et al.. (2024). A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism. International Journal of Hydrogen Energy. 60. 133–146. 92 indexed citations breakdown →

3.

Jia, Chunchun, Hongwen He, Jiaming Zhou, et al.. (2024). A novel deep reinforcement learning-based predictive energy management for fuel cell buses integrating speed and passenger prediction. International Journal of Hydrogen Energy. 100. 456–465. 39 indexed citations

4.

Jia, Chunchun, Hongwen He, Jiaming Zhou, et al.. (2023). A novel health-aware deep reinforcement learning energy management for fuel cell bus incorporating offline high-quality experience. Energy. 282. 128928–128928. 17 indexed citations

5.

Jia, Chunchun, Hongwen He, Jiaming Zhou, et al.. (2023). Learning-based model predictive energy management for fuel cell hybrid electric bus with health-aware control. Applied Energy. 355. 122228–122228. 105 indexed citations

6.

Jia, Chunchun, Kunang Li, Hongwen He, et al.. (2023). Health-aware energy management strategy for fuel cell hybrid bus considering air-conditioning control based on TD3 algorithm. Energy. 283. 128462–128462. 50 indexed citations

7.

Jia, Chunchun, Jiaming Zhou, Hongwen He, et al.. (2023). A novel energy management strategy for hybrid electric bus with fuel cell health and battery thermal- and health-constrained awareness. Energy. 271. 127105–127105. 102 indexed citations

8.

Li, Kunang, Chunchun Jia, Xuefeng Han, & Hongwen He. (2023). A Novel Minimal-Cost Power Allocation Strategy for Fuel Cell Hybrid Buses Based on Deep Reinforcement Learning Algorithms. Sustainability. 15(10). 7967–7967. 5 indexed citations

9.

Jia, Chunchun, Jiaming Zhou, Hongwen He, et al.. (2023). Health-conscious deep reinforcement learning energy management for fuel cell buses integrating environmental and look-ahead road information. Energy. 290. 130146–130146. 76 indexed citations

10.

Li, Kunang, Jiaming Zhou, Chunchun Jia, Fengyan Yi, & Caizhi Zhang. (2023). Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information. International Journal of Hydrogen Energy. 52. 821–833. 72 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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