Longlong Jiang

Anhui University, Hefei University of Technology

Papers

Total Citations

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About

Longlong Jiang is a rising leader in bio-inspired neuromorphic electronics, with a focused expertise in artificial olfactory systems and synaptic transistors. Their major contributions lie in developing bionic olfactory synaptic devices that mimic the human nose’s ability to recognize gases with exceptional sensitivity and energy efficiency. In their highly cited 2024 work, Jiang engineered transistor synaptic devices using poly-diketo-pyrrolopyrrole-selenophene polymers to construct artificial neuromotor pathways, achieving superior gas recognition by emulating the brain’s excitatory–inhibitory balance. This breakthrough, garnering 23 citations, demonstrates how biological principles can drive next-generation computing. Complementing this, Jiang’s second most-cited paper (13 citations) introduced ultralow-energy-consumption biomimetic olfactory synapses based on semiconductor film aggregation, achieving record-low detection limits ideal for intelligent robotics. Together, these innovations position Jiang at the forefront of neuromorphic computing, where their work promises to revolutionize smart sensing, environmental monitoring, and human-machine interfaces. With both papers published in 2024, Jiang’s rapid impact signals a transformative trajectory in merging biology with semiconductor technology for sustainable, brain-like electronics.